DEV Community: Kishan Sheth

🔥 200 Project Ideas from Beginner to Advanced with Open Source Contributions 🚀

Kishan Sheth — Sat, 09 Nov 2024 19:09:58 +0000

Introduction

Are you ready to dive into the world of coding with real-world projects? Whether you're a beginner looking to learn the fundamentals or an experienced developer seeking a challenging new endeavor, this curated list of 200 project ideas has something for everyone. Each project is designed to enhance your technical skills and strengthen your understanding of modern frameworks and tools. From personal portfolios to complex applications, these projects cover a wide range of difficulties and technologies, helping you become a well-rounded developer.

This list is structured to give you a comprehensive path for learning and practicing, with every project including a detailed description, suggested tech stack, key features, learning goals, and ways to contribute if you’re interested in open-source development. Start building, and let these projects take you on an exciting journey through web development, mobile applications, data science, and beyond!

You can also subscribe to my YouTube channel for full stack project implementations.

Kishan Sheth - YouTube

The Channel is mainly focused on development with Javascript.

youtube.com

#	Project Name	Level	Link to Description
1	Personal Portfolio with Blog	Beginner	View Details
2	E-commerce Platform	Intermediate	View Details
3	Social Media Dashboard	Advanced Beginner	View Details
4	Real-time Chat Application	Intermediate	View Details
5	Full-Stack Video Streaming Platform	Advanced	View Details
6	Task Management App with Kanban and Real-time Collaboration	Advanced	View Details
7	Decentralized Marketplace on Blockchain	Expert	View Details
8	AI-powered Image and Video Editor	Expert	View Details
9	SaaS Project Management Tool	Expert	View Details
10	Weather Dashboard	Beginner	View Details
11	Recipe Sharing App	Intermediate	View Details
12	Real-Time Multiplayer Game	Advanced	View Details
13	Blogging Platform with Markdown Editor	Intermediate	View Details
14	Pomodoro Timer with Task Management	Advanced Beginner	View Details
15	Full-Stack Social Media Platform	Advanced	View Details
16	Expense Tracker with Budget Analysis	Intermediate	View Details
17	News Aggregator with Category Filters	Advanced Beginner	View Details
18	Crypto Portfolio Tracker	Expert	View Details
19	Language Translation App with History	Intermediate	View Details
20	AI-powered Document Scanner and Analyzer	Advanced	View Details
21	Habit Tracker with Progress Analytics	Beginner	View Details
22	Fitness and Workout Planner	Intermediate	View Details
23	Personal Finance Tracker with Budgeting	Advanced Beginner	View Details
24	Book Recommendation System	Intermediate	View Details
25	Video Conference Platform with Screen Sharing	Advanced	View Details
26	Daily Journal App with Calendar Integration	Advanced Beginner	View Details
27	Restaurant Reservation System	Intermediate	View Details
28	Health Data Dashboard with IoT Integration	Expert	View Details
29	Recipe Sharing App with Voice Recognition	Advanced Beginner	View Details
30	AI-powered Language Learning Platform	Expert	View Details
31	Music Playlist Generator with Recommendations	Intermediate	View Details
32	Job Application Tracker	Advanced	View Details
33	Real-Time Cryptocurrency Trading Simulator	Expert	View Details
34	To-Do List with Reminders	Beginner	View Details
35	Personal Budget Tracker with Monthly Analysis	Intermediate	View Details
36	Task Timer with Pomodoro Technique	Advanced Beginner	View Details
37	Personal Document Vault with Encryption	Advanced	View Details
38	Job Search Engine with Custom Filters	Expert	View Details
39	Recipe Box with Ingredient Shopping List	Intermediate	View Details
40	Peer-to-Peer File Sharing App	Advanced	View Details
41	AI-Driven Movie Recommendation System	Expert	View Details
42	Travel Itinerary Planner with Maps Integration	Intermediate	View Details
43	Book Library with Online Reading Tracker	Advanced Beginner	View Details
44	Fitness Tracking App with GPS Integration	Intermediate	View Details
45	E-commerce Platform with AI-powered Product Recommendations	Expert	View Details
46	Remote Team Collaboration Board	Intermediate	View Details
47	Notes App with Rich Text Editing	Advanced Beginner	View Details
48	Real-Time Stock Market Dashboard	Expert	View Details
49	Mental Health Journal with Mood Tracking	Intermediate	View Details
50	IoT Home Automation Dashboard	Advanced	View Details
51	Flashcard App with Spaced Repetition	Beginner	View Details
52	Blogging Platform with Social Sharing	Intermediate	View Details
53	Meme Generator with Templates	Advanced Beginner	View Details
54	Multiplayer Quiz Game	Advanced	View Details
55	Virtual Reality Travel Experience	Expert	View Details
56	Personal Finance Advisor with AI Analysis	Intermediate	View Details
57	Virtual Journal with Mood Tracking	Advanced Beginner	View Details
58	E-commerce Store with Augmented Reality (AR)	Advanced	View Details
59	AI Chatbot with Contextual Understanding	Intermediate	View Details
60	Decentralized Voting System on Blockchain	Expert	View Details
61	Daily Affirmations App	Beginner	View Details
62	Markdown Note-Taking App	Advanced Beginner	View Details
63	Real Estate Listing Platform	Intermediate	View Details
64	Dynamic Data Dashboard with GraphQL	Advanced	View Details
65	Fitness Challenge App	Intermediate	View Details
66	Decentralized File Storage on IPFS	Expert	View Details
67	Personal Library Catalog	Advanced Beginner	View Details
68	Customer Relationship Management (CRM) Tool	Intermediate	View Details
69	Stock Trading Simulator with AI Predictions	Expert	View Details
70	Recipe Finder with Favorites	Beginner	View Details
71	Budget Planner with Monthly Analysis	Intermediate	View Details
72	Minimalist Habit Tracker	Advanced Beginner	View Details
73	Real-Time Sports Scoreboard	Expert	View Details
74	Personal Finance and Investment Tracker	Intermediate	View Details
75	Task Manager with Categories	Advanced Beginner	View Details
76	Blockchain-based Document Authentication System	Expert	View Details
77	Mood Tracker with Weekly Insights	Advanced Beginner	View Details
78	Travel Planning and Expense Tracker	Intermediate	View Details
79	Social Media Dashboard with Analytics	Advanced	View Details
80	Voice-Activated Personal Assistant	Intermediate	View Details
81	Minimalist Budget Tracker	Advanced Beginner	View Details
82	Automated Job Application Tracker	Expert	View Details
83	Blogging Platform with Media Upload	Intermediate	View Details
84	Goal Tracker with Progress Analytics	Advanced Beginner	View Details
85	NFT Marketplace with Auction Mechanism	Expert	View Details
86	Study Planner with Calendar Integration	Intermediate	View Details
87	Simple Chat Application with Emojis	Advanced Beginner	View Details
88	AI-Powered Virtual Stylist	Advanced	View Details
89	Online Whiteboard with Collaborative Drawing	Intermediate	View Details
90	Meditation and Relaxation App	Beginner	View Details
91	Smart Home Automation Control Panel	Expert	View Details
92	Grocery List App with Categories	Advanced Beginner	View Details
93	Audio Book Player with Chapter Highlights	Intermediate	View Details
94	Decentralized Crowdfunding Platform on Blockchain	Expert	View Details
95	Daily Quotes Generator	Beginner	View Details
96	Video Streaming Platform with Chat	Intermediate	View Details
97	Simple Recipe Book	Advanced Beginner	View Details
98	Decentralized Identity Verification System	Expert	View Details
99	Music Playlist Curator with API Integration	Intermediate	View Details
100	Workout Logger with Timer	Advanced Beginner	View Details
101	AI-Powered Resume Scanner and Job Matcher	Advanced	View Details
102	Personal Recipe Generator	Intermediate	View Details
103	Daily Journal with Sentiment Analysis	Advanced Beginner	View Details
104	Real-Time Stock Market Trading Simulator	Expert	View Details
105	Customizable Goal Setting App	Intermediate	View Details
106	Daily Planner with Calendar View	Beginner	View Details
107	Quiz Platform with Leaderboards	Intermediate	View Details
108	Cryptocurrency Price Tracker with Alerts	Advanced	View Details
109	Simple Timer and Stopwatch	Advanced Beginner	View Details
110	AI-Powered Grammar Checker	Expert	View Details
111	Recipe Sharing Platform with Ratings	Intermediate	View Details
112	Weather App with Geolocation	Advanced Beginner	View Details
113	Real Estate Marketplace with Map Integration	Advanced	View Details
114	Blockchain-Based Document Notarization Platform	Expert	View Details
115	Expense Tracker with Simple Analytics	Beginner	View Details
116	Vocabulary Builder with Flashcards	Advanced Beginner	View Details
117	Decentralized Social Media Platform	Expert	View Details
118	Collaborative Task Management Tool	Intermediate	View Details
119	Habit Streak Tracker	Advanced Beginner	View Details
120	AI-Based Health Analysis Dashboard	Expert	View Details
121	Real-Time Chat Support Widget	Intermediate	View Details
122	Workout Routine Planner	Beginner	View Details
123	Peer-to-Peer Cryptocurrency Exchange	Expert	View Details
124	Event Management and Ticketing System	Intermediate	View Details
125	AI-Driven Sales Forecasting Platform	Advanced	View Details
126	Countdown Timer App	Beginner	View Details
127	Personal Budgeting Tool with Multi-Currency Support	Intermediate	View Details
128	AI-Powered Language Translator	Expert	View Details
129	Habit Calendar	Advanced Beginner	View Details
130	Collaborative Notes with Markdown Support	Intermediate	View Details
131	Decentralized Voting App with Privacy Protocols	Expert	View Details
132	Digital Flashcards with Spaced Repetition	Beginner	View Details
133	Customizable CRM for Small Businesses	Intermediate	View Details
134	Automated Email Marketing Platform with Analytics	Expert	View Details
135	Pomodoro Timer with Task Integration	Advanced Beginner	View Details
136	Personal Investment Dashboard with Market Insights	Intermediate	View Details
137	AI-Driven Content Creation Platform	Advanced	View Details
138	Personal Book Library	Beginner	View Details
139	Real-Time Collaboration Platform for Teams	Intermediate	View Details
140	NFT-Based Art Gallery Platform	Expert	View Details
141	Personal Finance Assistant with AI	Intermediate	View Details
142	IoT Smart Garden Management System	Expert	View Details
143	Personal Diary with Mood Tracker	Beginner	View Details
144	Real-Time Job Board with Notifications	Intermediate	View Details
145	Personal Nutrition Tracker	Advanced Beginner	View Details
146	Social Media Content Scheduler	Intermediate	View Details
147	Decentralized Marketplace for Digital Goods	Expert	View Details
148	Shopping List with Categorized Items	Beginner	View Details
149	Inventory Management System for Small Businesses	Intermediate	View Details
150	AI-Powered Recruitment Platform	Expert	View Details
151	Virtual Mood Journal with Daily Prompts	Beginner	View Details
152	Event Ticketing System with QR Code Verification	Intermediate	View Details
153	AI-Driven Social Media Sentiment Analysis	Advanced	View Details
154	Minimalist Habit Tracker with Streaks	Beginner	View Details
155	Collaborative Shopping List for Families	Intermediate	View Details
156	Real-Time Cryptocurrency Portfolio with AI Predictions	Expert	View Details
157	Personal Recipe Manager	Beginner	View Details
158	Customizable Budget Planner	Intermediate	View Details
159	Decentralized Lending and Borrowing Platform	Expert	View Details
160	Study Planner with Daily Reminders	Beginner	View Details
161	Real-Time Traffic Monitoring Dashboard	Intermediate	View Details
162	AI-Powered Workout Planner	Expert	View Details
163	Simple Job Application Tracker	Advanced Beginner	View Details
164	Community Forum with User Moderation	Intermediate	View Details
165	AI-Powered Document Summarizer	Expert	View Details
166	Contact Manager with Import/Export	Beginner	View Details
167	AI-Based Stock Trading Assistant	Intermediate	View Details
168	Supply Chain Management System with Blockchain	Advanced	View Details
169	Workout Logger with Progress Analytics	Beginner	View Details
170	Personal Finance Dashboard with Forecasting	Intermediate	View Details
171	Decentralized Voting Platform with Audit Logs	Expert	View Details
172	Personal Movie Watchlist	Beginner	View Details
173	AI Resume Analyzer	Intermediate	View Details
174	Blockchain-Based Voting System for Company Polls	Expert	View Details
175	Language Learning App with Speech Recognition	Intermediate	View Details
176	AI-Based SEO Content Analysis Tool	Expert	View Details
177	Virtual Study Group Platform with Video Chat	Intermediate	View Details
178	Digital Recipe Card Organizer	Beginner	View Details
179	Personal Journal with Photo Entries	Advanced Beginner	View Details
180	Real-Time Forex Trading Platform with Analytics	Expert	View Details
181	Family Recipe Sharing App	Intermediate	View Details
182	Mood-Based Music Recommendation	Advanced Beginner	View Details
183	Team Project Management with Gantt Chart	Intermediate	View Details
184	AI-Driven Email Categorization Tool	Expert	View Details
185	Virtual Flashcard Study Tool	Beginner	View Details
186	Blogging Platform with Real-Time Commenting	Intermediate	View Details
187	Smart Contracts for Insurance Claims	Expert	View Details
188	Goal Setting and Tracking App	Beginner	View Details
189	Health Data Tracker with Wearable Integration	Intermediate	View Details
190	Multi-Currency E-commerce Platform	Expert	View Details
191	Minimalist Daily Planner	Beginner	View Details
192	E-learning Platform with Video Courses	Intermediate	View Details
193	Real Estate Marketplace with Virtual Tours	Expert	View Details
194	Music Player with Lyrics Display	Advanced Beginner	View Details
195	Smart Home Control Dashboard	Intermediate	View Details
196	Decentralized Content Sharing Platform	Expert	View Details
197	Countdown to Events	Beginner	View Details
198	Fitness Progress Tracker with Photo Comparisons	Intermediate	View Details
199	AI-Powered Legal Document Analysis Tool	Expert	View Details
200	Blockchain-based Supply Chain Management	Expert	View Details

1. Beginner: Personal Portfolio with Blog

Description: Create a personal portfolio website with an integrated blog where users can add, edit, and delete posts. This is an excellent project for learning the basics of frontend and backend development and gaining foundational experience in React and Next.js.
Tech Stack: Next.js, Tailwind CSS, Markdown for blogging, Firebase for data storage.
Features:
- User-friendly UI with responsive design
- Basic authentication for blog management
- Markdown editor for creating blog posts
- Dynamic routing for blog posts and pages
Learning Path: HTML/CSS basics, React components, Next.js routing, Firebase basics.
Open-source Focus: Provides a beginner-friendly open-source project for new developers to contribute and learn.

2. Intermediate: E-commerce Platform

Description: Build a full-featured e-commerce website with product listings, a shopping cart, and a payment gateway. This project introduces more complex frontend features and backend integration, perfect for expanding JS and React skills.
Tech Stack: React, Next.js, Node.js, MongoDB, Stripe for payments, Zustand for state management.
Features:
- Product search, filter, and sorting
- Shopping cart and checkout process
- Payment integration with Stripe
- User profiles with order history
Learning Path: API development with Node.js, managing state with Zustand, and integrating payment systems.
Open-source Focus: Aimed at demonstrating full-stack architecture with Node.js and MongoDB, making it a helpful reference for e-commerce development.

3. Advanced Beginner: Social Media Dashboard

Description: A lightweight social media dashboard where users can track analytics from various social media platforms. This app focuses on frontend skills with API integration and asynchronous data handling.
Tech Stack: React, Tailwind CSS, REST APIs (Twitter, YouTube, Instagram).
Features:
- Data visualization with charts (using Chart.js)
- OAuth authentication for connecting social accounts
- Summary metrics for followers, views, likes, etc.
- Dark mode and user-friendly UI
Learning Path: RESTful API handling, OAuth basics, data visualization.
Open-source Focus: Builds knowledge on using social media APIs and handling user authentication, great for contributors learning frontend-heavy development.

4. Intermediate: Real-time Chat Application

Description: Develop a chat app with real-time messaging, channels, and private messaging. Users can send files and create groups, making it an ideal project for understanding websockets and handling asynchronous events.
Tech Stack: MERN (MongoDB, Express, React, Node.js), Socket.IO for real-time messaging, JWT for authentication.
Features:
- Real-time messaging and file sharing
- Channel creation and group chats
- Typing indicators and user online status
- User authentication and profile management
Learning Path: Socket.IO, JWT, MongoDB CRUD, and frontend state management.
Open-source Focus: Contributes to open-source chat projects and offers hands-on experience with real-time data.

5. Advanced: Full-Stack Video Streaming Platform

Description: Build a video streaming platform similar to YouTube with video uploads, streaming, and recommendations. This project covers advanced frontend and backend concepts, such as media handling, data streaming, and video encoding.
Tech Stack: Next.js, Node.js, MongoDB, HLS for video streaming, AWS S3 for storage.
Features:
- Video upload and encoding with HLS
- Content search, recommendations, and categories
- Commenting and likes/dislikes on videos
- User authentication and video history tracking
Learning Path: Media storage and processing, MongoDB aggregation, and CDN integration.
Open-source Focus: Introduces contributors to video streaming, storage, and encoding techniques, valuable for media-heavy applications.

6. Advanced: Task Management App with Kanban and Real-time Collaboration

Description: Create a task management platform with a Kanban board that supports real-time collaboration between users. The app should allow users to assign tasks, set deadlines, and track progress collaboratively.
Tech Stack: React, Node.js, GraphQL, Apollo, WebSockets for real-time collaboration.
Features:
- Task creation, assignment, and tracking
- Real-time collaboration and notifications
- Kanban board and drag-and-drop functionality
- Team member roles and permissions
Learning Path: GraphQL and Apollo, WebSockets, advanced React state management.
Open-source Focus: Useful as a collaborative productivity tool, introduces GraphQL and real-time features to contributors.

7. Expert: Decentralized Marketplace on Blockchain

Description: Develop a decentralized marketplace where users can list items for sale, bid, or buy with cryptocurrency. The project provides hands-on experience with blockchain, smart contracts, and decentralized applications (dApps).
Tech Stack: Solidity, Next.js, MetaMask for wallet integration, ethers.js, IPFS for decentralized storage.
Features:
- Smart contracts for item listings, bidding, and transactions
- User wallet integration and profile management
- Transaction history with blockchain integration
- Secure storage for assets with IPFS
Learning Path: Solidity smart contracts, Web3 integrations, and decentralized storage with IPFS.
Open-source Focus: Supports blockchain and Web3 open-source community, enabling contributors to learn decentralized marketplace fundamentals.

8. Expert: AI-powered Image and Video Editor

Description: Create an AI-powered image and video editor with advanced capabilities like background removal, color grading, and face detection. This project combines AI with practical applications in media editing.
Tech Stack: Next.js, Python (for AI models), TensorFlow.js, FFMPEG, AWS Lambda for backend processing.
Features:
- Background removal and object detection
- Filters and effects with real-time previews
- Basic video editing tools (trimming, merging)
- Export options and quality settings
Learning Path: Image processing, TensorFlow.js, video processing with FFMPEG.
Open-source Focus: Bridges media editing and AI, providing a complex, real-world project for AI in frontend.

9. Expert: SaaS Project Management Tool

Description: Build a project management SaaS platform that features task tracking, project timelines, and collaboration tools, ideal for freelancers and teams. This project introduces full-scale SaaS architecture, security, and subscription management.
Tech Stack: React, Next.js, Node.js, Prisma, PostgreSQL, Stripe for subscription management, WebSockets for real-time updates.
Features:
- Multi-tenant setup with project workspaces
- Real-time updates and notifications
- Role-based access control (RBAC) for team management
- Payment integration and subscription management with Stripe
Learning Path: Multi-tenant applications, payment systems, and advanced backend management.
Open-source Focus: High-value SaaS project for open-source, useful as a blueprint for subscription-based services.

10. Beginner: Weather Dashboard

Description: Build a weather dashboard that shows real-time weather information and forecasts for selected cities. Great for learning API integration and data display.
Tech Stack: React, OpenWeatherMap API, Tailwind CSS.
Features:
- Search for weather by city
- Display current temperature, humidity, and weather conditions
- 7-day weather forecast
- Dark mode support
Learning Path: API requests with Axios, basic state management, and component structuring.
Open-source Focus: Helps new developers understand API-driven applications, perfect for simple contributions.

11. Intermediate: Recipe Sharing App

Description: Create a platform where users can browse, add, and share recipes. Users can filter by ingredients, cuisine, and dietary preferences.
Tech Stack: Next.js, MongoDB, Tailwind CSS, Firebase for authentication.
Features:
- Recipe listing and detailed view
- User authentication and profile management
- Search and filter by ingredients and dietary restrictions
- Favorite and save recipes
Learning Path: MongoDB for data storage, search/filter functionality, and authentication.
Open-source Focus: A collaborative project where contributors can add features or recipes.

12. Advanced: Real-Time Multiplayer Game

Description: Build a real-time multiplayer game where players can join rooms, interact, and compete in mini-games. A fun project to dive into WebSockets and game logic.
Tech Stack: React, Node.js, Socket.IO, Canvas API for graphics.
Features:
- Lobby and room management
- Real-time player movement and actions
- Game scoring and leaderboard
- Chat within game rooms
Learning Path: WebSockets, game state management, and real-time interaction.
Open-source Focus: Promotes understanding of game logic and real-time systems in collaborative open-source environments.

13. Intermediate: Blogging Platform with Markdown Editor

Description: A blogging platform where users can write, edit, and publish posts using a Markdown editor. Users can view and comment on each other's posts.
Tech Stack: Next.js, MongoDB, Markdown, Tailwind CSS.
Features:
- Rich text and Markdown editor for posts
- Commenting on posts
- User profile and post history
- Like, share, and save articles
Learning Path: Working with Markdown, CRUD operations with MongoDB, and state management.
Open-source Focus: Provides a great opportunity for collaborative contributions in building additional features.

14. Advanced Beginner: Pomodoro Timer with Task Management

Description: A Pomodoro timer app where users can track their focus sessions and create tasks with time goals.
Tech Stack: React, Local Storage for persistence, Tailwind CSS.
Features:
- Timer for 25-minute focus sessions and 5-minute breaks
- Task list with time estimates and completed tracking
- Sound and notification reminders
- Dark mode option
Learning Path: React hooks, component-based UI, and local state management.
Open-source Focus: A beginner-friendly project that allows others to contribute custom features like themes and task statistics.

15. Advanced: Full-Stack Social Media Platform

Description: Build a fully functional social media platform where users can create profiles, share posts, follow others, and like content.
Tech Stack: Next.js, Node.js, MongoDB, GraphQL, Tailwind CSS.
Features:
- User authentication and profile management
- Post creation, editing, and deletion
- Follower system and notifications
- Real-time feed updates and comment section
Learning Path: GraphQL for data handling, MongoDB for relational data, and API security.
Open-source Focus: Great for contributing various modules like the follower system, post analytics, or advanced feed algorithms.

16. Intermediate: Expense Tracker with Budget Analysis

Description: Build an app that allows users to log their expenses, categorize them, and analyze spending trends over time.
Tech Stack: React, Firebase for storage, Chart.js for data visualization.
Features:
- Add, edit, and delete expense entries
- Categorization of expenses
- Monthly and yearly expense reports
- Graphical charts for spending analysis
Learning Path: CRUD with Firebase, data visualization, and state management.
Open-source Focus: Provides a foundational finance app where contributors can add budget planning, notifications, and other customizations.

17. Advanced Beginner: News Aggregator with Category Filters

Description: Create a news aggregation app that pulls in news from various sources and allows users to filter by categories like technology, sports, and health.
Tech Stack: React, News API, Tailwind CSS.
Features:
- Real-time news updates by category
- Search functionality for specific news
- Responsive and visually engaging layout
- Bookmark feature for saving articles
Learning Path: API integration, handling data asynchronously, and dynamic filtering.
Open-source Focus: Enables contributors to add customizations such as new categories, article recommendations, and theme settings.

18. Expert: Crypto Portfolio Tracker

Description: Develop a cryptocurrency portfolio tracker where users can monitor and analyze the value of their crypto holdings.
Tech Stack: React, Node.js, MongoDB, Coingecko API.
Features:
- Add and manage multiple cryptocurrencies
- Real-time price updates and portfolio valuation
- Graphs for value history and price alerts
- Integration with major wallets like MetaMask
Learning Path: Crypto API integration, handling financial data, and portfolio analysis.
Open-source Focus: Aimed at crypto enthusiasts, it allows for contributions such as support for new coins, detailed analytics, and wallet integrations.

19. Intermediate: Language Translation App with History

Description: Build a translation app where users can translate phrases into multiple languages and view their translation history.
Tech Stack: Next.js, Google Translation API, Local Storage for history.
Features:
- Text input and translation to multiple languages
- Translation history with timestamps
- Option to save favorite translations
- Simple and intuitive UI
Learning Path: Working with third-party APIs, handling asynchronous data, and local storage.
Open-source Focus: Perfect for contributors to enhance with new language packs, voice input, or favorite phrases.

20. Advanced: AI-powered Document Scanner and Analyzer

Description: Create a document scanner app that uses OCR (Optical Character Recognition) to scan documents and extract text. Optionally, add AI to categorize and analyze content.
Tech Stack: React, Python (for OCR), TensorFlow.js, AWS Lambda for backend processing.
Features:
- Document scanning and text extraction
- Text categorization using AI
- Save scanned documents and export as PDF
- Optical character recognition for multi-language support
Learning Path: OCR processing, integrating AI for text analysis, and document management.
Open-source Focus: Provides real-world use cases of AI, allowing contributors to add support for additional languages and image enhancements.

21. Beginner: Habit Tracker with Progress Analytics

Description: Build a habit tracker where users can log daily habits and view progress over time. A simple project focused on data persistence and analytics.
Tech Stack: React, Local Storage, Chart.js for visualization, Tailwind CSS.
Features:
- Track daily habits with simple toggles
- Progress analytics with weekly and monthly overviews
- Customizable habit names and icons
- Dark mode support
Learning Path: State management, basic data persistence, and chart integration.
Open-source Focus: Great for beginners, allowing contributors to add habit streaks, reminders, and category grouping.

22. Intermediate: Fitness and Workout Planner

Description: Create a fitness app where users can build workout routines, set goals, and track progress. An ideal project to build CRUD functionality and understand data modeling.
Tech Stack: React, Firebase, Tailwind CSS, and Framer Motion for animations.
Features:
- Create, edit, and delete workout plans
- Daily progress tracking and goal setting
- Exercise library with searchable routines
- Visual animations for a dynamic user experience
Learning Path: Firebase for data storage, CRUD operations, and frontend animations.
Open-source Focus: Provides a collaborative base for adding new exercises, plan recommendations, or motivational features.

23. Advanced Beginner: Personal Finance Tracker with Budgeting

Description: Build an app for tracking daily expenses, budgeting, and analyzing spending. Focuses on financial data entry and visualization.
Tech Stack: React, Firebase or Local Storage, Chart.js, Tailwind CSS.
Features:
- Add, edit, and categorize expenses
- Set budgets and track progress
- Graphs for spending analysis by category
- Notifications when nearing budget limits
Learning Path: Financial data handling, Chart.js for graphs, and Firebase basics.
Open-source Focus: Encourages contributions for advanced analytics, recurring expenses, and budget templates.

24. Intermediate: Book Recommendation System

Description: Create a book recommendation system where users can search for books, read reviews, and get recommendations based on interests.
Tech Stack: Next.js, Node.js, MongoDB, Google Books API.
Features:
- Search for books and view details
- User reviews and ratings
- Recommendation engine based on user preferences
- User profiles with favorite books
Learning Path: API integration, recommendation algorithms, and data persistence with MongoDB.
Open-source Focus: Great for adding new recommendation features, genre tagging, and user engagement analytics.

25. Advanced: Video Conference Platform with Screen Sharing

Description: Develop a video conferencing platform supporting multiple participants, screen sharing, and chat functionalities.
Tech Stack: React, Node.js, WebRTC for video, Socket.IO, and Firebase for storage.
Features:
- Video and audio calls with multiple participants
- Screen sharing and chat during calls
- Mute/unmute and video toggle options
- Session history and participant tracking
Learning Path: WebRTC for video streaming, real-time data with Socket.IO, and media management.
Open-source Focus: Perfect for adding recording functionality, enhanced chat features, or meeting analytics.

26. Advanced Beginner: Daily Journal App with Calendar Integration

Description: Create a journaling app that allows users to write daily entries and view them on a calendar. Helps with data handling and integrating calendars.
Tech Stack: React, Firebase for storage, Calendar API.
Features:
- Daily journal entry with rich text
- Calendar view to access past entries
- Mood tracking with each entry
- Data export option to PDF
Learning Path: Calendar API integration, rich text management, and CRUD operations.
Open-source Focus: Allows contributors to add mood analytics, sentiment analysis, or custom themes.

27. Intermediate: Restaurant Reservation System

Description: Build a restaurant reservation system that allows users to book tables and see availability in real-time.
Tech Stack: Next.js, Node.js, MongoDB, and WebSockets for real-time updates.
Features:
- Book, modify, or cancel reservations
- View available times and table options
- Notifications for booking confirmations
- Admin panel to manage reservations
Learning Path: Real-time booking, MongoDB for database management, and server-client communication.
Open-source Focus: Ideal for adding admin dashboards, restaurant analytics, or support for group reservations.

28. Expert: Health Data Dashboard with IoT Integration

Description: Create a dashboard that collects health data (e.g., heart rate, steps) from IoT devices and visualizes it with trends and analysis.
Tech Stack: Next.js, Node.js, Firebase, IoT API integration, and Chart.js for visualization.
Features:
- Real-time data sync with IoT health devices
- Weekly and monthly health reports
- Visualization of heart rate, sleep patterns, etc.
- Health goals and progress tracking
Learning Path: IoT integration, real-time data handling, and data analytics.
Open-source Focus: Supports additions like data export, alerts for abnormal readings, and wearable compatibility.

29. Advanced Beginner: Recipe Sharing App with Voice Recognition

Description: Build a recipe app where users can add, edit, and share recipes, with the unique addition of voice recognition for hands-free cooking.
Tech Stack: React, Firebase, Speech Recognition API, Tailwind CSS.
Features:
- Voice instructions for hands-free cooking
- Recipe search and filter
- Add and edit personal recipes
- User reviews and ratings
Learning Path: Working with voice recognition, CRUD operations, and user engagement.
Open-source Focus: Contributors can add new cuisines, personalized recommendations, or integration with smart kitchen devices.

30. Expert: AI-powered Language Learning Platform

Description: Create a language learning platform with AI-powered grammar checks, pronunciation guides, and flashcards.
Tech Stack: React, Node.js, TensorFlow.js, Firebase, and Speech Recognition API.
Features:
- AI grammar checks for writing exercises
- Pronunciation feedback and guide
- Flashcards with spaced repetition
- Weekly progress and goal tracking
Learning Path: NLP with TensorFlow.js, spaced repetition algorithms, and API integration.
Open-source Focus: Supports development of additional languages, new flashcards, or pronunciation analytics.

31. Intermediate: Music Playlist Generator with Recommendations

Description: Develop an app that generates personalized playlists based on mood, genre, and user activity. Integrate with music APIs for data.
Tech Stack: React, Spotify API, Node.js, MongoDB.
Features:
- Mood and genre-based playlist generation
- Add and save custom playlists
- User activity-based recommendations
- Integration with Spotify for playback
Learning Path: API integration with Spotify, data filtering, and mood analysis.
Open-source Focus: Great for adding new music sources, playlist themes, and personalized recommendations.

32. Advanced: Job Application Tracker

Description: Build an app to track job applications, including statuses, deadlines, and networking contacts. Helpful for job seekers to stay organized.
Tech Stack: Next.js, MongoDB, Tailwind CSS, Firebase.
Features:
- Add, edit, and organize job applications
- Track statuses (e.g., applied, interviewed, offered)
- Reminders for follow-ups and deadlines
- Company research and notes
Learning Path: Database CRUD operations, reminder notifications, and user profile management.
Open-source Focus: Encourages open-source development for additional tools, such as calendar integration or job search links.

33. Expert: Real-Time Cryptocurrency Trading Simulator

Description: Create a simulated cryptocurrency trading platform where users can trade with virtual currency based on real-time market data.
Tech Stack: Next.js, Node.js, Coingecko API, MongoDB.
Features:
- Real-time cryptocurrency price updates
- Buy and sell cryptocurrencies with virtual funds
- Track portfolio growth and performance
- Leaderboard for top traders
Learning Path: Real-time market data integration, simulated trading mechanics, and portfolio analysis.
Open-source Focus: A platform to develop trading algorithms, risk analysis tools, or real-time market insights.

34. Beginner: To-Do List with Reminders

Description: A simple to-do list app where users can create tasks, set deadlines, and receive reminders. Ideal for beginners learning CRUD and local storage.
Tech Stack: React, Local Storage, Notification API, Tailwind CSS.
Features:
- Add, edit, and delete tasks
- Set deadlines and receive notifications
- Mark tasks as completed
- Priority-based task sorting
Learning Path: CRUD operations, local storage for data persistence, and notifications.
Open-source Focus: Allows contributors to add features like color-coded priority levels, sub-tasks, and recurring reminders.

35. Intermediate: Personal Budget Tracker with Monthly Analysis

Description: A budgeting app that helps users categorize and analyze expenses on a monthly basis.
Tech Stack: React, Firebase, Chart.js for analytics, Tailwind CSS.
Features:
- Add expenses with category tags
- Monthly analysis of spending habits
- Set budgets for each category
- Visual data representation with graphs
Learning Path: Firebase for CRUD, data visualization with Chart.js, and frontend component management.
Open-source Focus: Great for adding custom features like predictive analytics, alerts for overspending, or integration with bank APIs.

36. Advanced Beginner: Task Timer with Pomodoro Technique

Description: A productivity tool that helps users focus on tasks using the Pomodoro technique, including work intervals and break reminders.
Tech Stack: React, Local Storage, Tailwind CSS, Notification API.
Features:
- 25-minute work intervals with 5-minute breaks
- Notifications for work and break start/end
- Task list with completion tracking
- Timer reset and customization options
Learning Path: Managing timers with JavaScript, local storage for data persistence, and React hooks.
Open-source Focus: Encourages contributions for feature expansion, such as customizable intervals, sound notifications, and task analytics.

37. Advanced: Personal Document Vault with Encryption

Description: A secure vault where users can upload and store personal documents with encryption for privacy.
Tech Stack: React, Node.js, MongoDB, Crypto.js for encryption, AWS S3 for storage.
Features:
- Upload, organize, and delete documents
- End-to-end encryption for document security
- User authentication and access control
- Tagging and search functionality
Learning Path: Encryption basics, secure document handling, and storage with AWS S3.
Open-source Focus: Adds value to the open-source community by demonstrating encryption and secure data storage.

38. Expert: Job Search Engine with Custom Filters

Description: A job search platform that aggregates job listings and allows users to filter results by skills, location, and experience level.
Tech Stack: Next.js, Node.js, MongoDB, Web Scraping for job data.
Features:
- Advanced search and filter options
- Bookmark and apply for jobs directly
- User profiles with saved job searches
- Email notifications for new listings
Learning Path: Web scraping, database management, and data filtering techniques.
Open-source Focus: Encourages contributions to integrate new job boards, refine filters, and expand notification features.

39. Intermediate: Recipe Box with Ingredient Shopping List

Description: An app where users can save favorite recipes and generate a shopping list based on selected ingredients.
Tech Stack: React, Firebase, Spoonacular API for recipes, Tailwind CSS.
Features:
- Add, edit, and save recipes
- Ingredient-based shopping list generator
- Search for recipes by ingredients
- Share recipes with friends
Learning Path: API integration, dynamic data handling, and state management.
Open-source Focus: Contributors can add new features like diet-based filtering, recipe ratings, and grocery store integration.

40. Advanced: Peer-to-Peer File Sharing App

Description: A decentralized file-sharing app where users can share files directly with peers using WebRTC.
Tech Stack: React, Node.js, WebRTC for peer-to-peer connections, Tailwind CSS.
Features:
- Secure file sharing between peers
- File size limit and progress indicators
- User authentication for private sharing
- Chat feature during file transfer
Learning Path: WebRTC for peer-to-peer, file handling, and secure data transfer.
Open-source Focus: Ideal for contributors interested in improving decentralized systems, adding transfer encryption, and enhancing security features.

41. Expert: AI-Driven Movie Recommendation System

Description: Create a movie recommendation system that learns user preferences and recommends movies based on watch history.
Tech Stack: React, Node.js, MongoDB, Machine Learning (Python backend), TensorFlow.js.
Features:
- User profiles with favorite genres
- Personalized movie recommendations
- Machine learning model for user preferences
- Rating system and watchlist
Learning Path: Machine learning model deployment, user data management, and personalized recommendations.
Open-source Focus: Allows contributors to enhance the recommendation algorithm, add support for new genres, or develop advanced filtering options.

42. Intermediate: Travel Itinerary Planner with Maps Integration

Description: A travel planner where users can create, edit, and save trip itineraries with an interactive map.
Tech Stack: Next.js, Google Maps API, Firebase.
Features:
- Add and manage trip details and stops
- Map integration for route planning
- Itinerary sharing with friends
- Budget estimation for trip expenses
Learning Path: Maps API integration, CRUD with Firebase, and data visualization.
Open-source Focus: Great for community contributions, like weather updates, suggested attractions, and sharing itineraries.

43. Advanced Beginner: Book Library with Online Reading Tracker

Description: A virtual book library where users can save and track reading progress for each book.
Tech Stack: React, Local Storage or Firebase, Tailwind CSS.
Features:
- Save books and track reading progress
- Rate and review completed books
- Reading history and book recommendations
- Search and filter by genre
Learning Path: CRUD functionality, state management, and user personalization.
Open-source Focus: Allows contributions for adding book ratings, reading goals, and book recommendations.

44. Intermediate: Fitness Tracking App with GPS Integration

Description: Build an app where users can track their workouts, including GPS-tracked running or cycling sessions.
Tech Stack: React, Firebase for storage, Google Maps API for GPS.
Features:
- Track GPS-based activities (running, cycling)
- Record distance, time, and calories burned
- View route on a map with location markers
- Set and track fitness goals
Learning Path: GPS tracking, Firebase for data management, and data visualization.
Open-source Focus: Contributions could include new workout types, analytics, and integration with fitness devices.

45. Expert: E-commerce Platform with AI-powered Product Recommendations

Description: Create an e-commerce platform with personalized recommendations powered by AI, including purchase and browsing history.
Tech Stack: Next.js, Node.js, MongoDB, TensorFlow.js for AI recommendations, Stripe for payments.
Features:
- Product catalog with categories
- AI-based personalized recommendations
- Cart and checkout with Stripe integration
- User profiles and order history
Learning Path: AI for recommendations, payment integration, and database management.
Open-source Focus: Useful for adding multi-vendor support, advanced analytics, and custom recommendation algorithms.

46. Intermediate: Remote Team Collaboration Board

Description: A Kanban-style project management board for remote teams to collaborate on tasks in real-time.
Tech Stack: React, Node.js, Firebase, WebSockets for real-time updates.
Features:
- Create and assign tasks to team members
- Real-time board updates and notifications
- Chat for team discussions
- Analytics for team productivity
Learning Path: Real-time updates, task management, and team collaboration.
Open-source Focus: Allows the community to add advanced features like Gantt charts, task priorities, and file sharing.

47. Advanced Beginner: Notes App with Rich Text Editing

Description: A notes app with a rich text editor for creating and organizing notes, similar to Google Keep.
Tech Stack: React, Local Storage for offline storage, Draft.js or Slate.js for rich text.
Features:
- Create, edit, and delete notes with rich text
- Organize notes with tags and folders
- Offline access with local storage
- Search notes by content or tags
Learning Path: Working with rich text editors,

local storage, and offline data persistence.

Open-source Focus: Perfect for adding collaboration features, different themes, or exporting notes as PDF.

48. Expert: Real-Time Stock Market Dashboard

Description: Develop a real-time stock market dashboard that displays stock data, trends, and news with AI-driven predictions.
Tech Stack: React, Node.js, MongoDB, WebSocket for real-time data, Alpha Vantage API for stock data, TensorFlow.js for predictions.
Features:
- Real-time stock price updates
- Visual stock trends with AI predictions
- Personalized watchlists
- News integration for stock updates
Learning Path: Real-time data management, AI prediction models, and user customization.
Open-source Focus: A collaborative project for financial tech, with room for contributors to add new stock sources, advanced analytics, and prediction algorithms.

49. Intermediate: Mental Health Journal with Mood Tracking

Description: Build a mental health journal app where users can log their mood and view trends over time.
Tech Stack: React, Firebase for data storage, Chart.js for mood trends.
Features:
- Daily mood logging with tags
- Mood trend analysis over weeks and months
- Add journal entries for each day
- Private, secure data storage
Learning Path: Firebase for storage, data analytics, and chart visualization.
Open-source Focus: Great for contributors interested in mental health, adding features like sentiment analysis, data export, and mood-based recommendations.

50. Advanced: IoT Home Automation Dashboard

Description: A home automation dashboard for managing and monitoring IoT-enabled devices like lights, thermostat, and security.
Tech Stack: Next.js, Node.js, Firebase, IoT APIs, Chart.js for data visualization.
Features:
- Connect and control IoT devices remotely
- Real-time status updates and notifications
- Energy usage reports and optimization tips
- User profiles and access control for device management
Learning Path: IoT API integration, real-time control, and user access management.
Open-source Focus: Allows the community to contribute with new IoT device integrations, home automation scenarios, and energy-saving tips.

51. Beginner: Flashcard App with Spaced Repetition

Description: Create a flashcard app where users can add cards and use spaced repetition to improve memory retention.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add and organize flashcards by category
- Spaced repetition algorithm for study sessions
- Track learning progress and review history
- Notifications for daily review reminders
Learning Path: CRUD functionality, spaced repetition logic, and local storage.
Open-source Focus: Contributors can add progress analytics, different algorithms, and a collaborative study mode.

52. Intermediate: Blogging Platform with Social Sharing

Description: A blogging platform where users can write articles, comment on posts, and share on social media.
Tech Stack: Next.js, MongoDB, Tailwind CSS, Firebase for auth.
Features:
- Article creation, editing, and deletion
- Commenting and liking on posts
- User profiles with follower counts
- Social media sharing for articles
Learning Path: Authentication, database management, and social media API integration.
Open-source Focus: Allows for added features like article recommendations, trending tags, and enhanced social integrations.

53. Advanced Beginner: Meme Generator with Templates

Description: Create a meme generator where users can add captions to images and share them.
Tech Stack: React, Firebase for image storage, Tailwind CSS.
Features:
- Template selection and custom captioning
- Image resizing and formatting
- Save and share memes with links
- Search and filter by popular meme templates
Learning Path: Image manipulation, Firebase storage, and user interaction.
Open-source Focus: Users can contribute by adding new templates, sharing functionality, or advanced text editing.

54. Advanced: Multiplayer Quiz Game

Description: Develop a real-time multiplayer quiz game where users can compete in trivia questions.
Tech Stack: React, Node.js, Socket.IO, Firebase.
Features:
- Real-time question display and scoring
- User lobby and chat during games
- Timed questions and live leaderboards
- Categories and difficulty levels for quizzes
Learning Path: WebSocket for real-time data, Firebase for persistence, and timer functionality.
Open-source Focus: Enables contributions like new question categories, difficulty customization, and in-game rewards.

55. Expert: Virtual Reality Travel Experience

Description: Create a VR travel app that simulates famous travel destinations with 360° views.
Tech Stack: React, Three.js for 3D rendering, Firebase for data storage.
Features:
- 360° views of famous landmarks
- Information overlay for points of interest
- Audio narration for immersive experiences
- Favorites list to bookmark visited places
Learning Path: VR development with Three.js, data handling, and multimedia integration.
Open-source Focus: Contributions can add new locations, audio guides, and visual enhancements for a richer VR experience.

56. Intermediate: Personal Finance Advisor with AI Analysis

Description: A financial advisor app that provides spending insights and savings recommendations.
Tech Stack: React, Node.js, MongoDB, TensorFlow.js for AI, and Chart.js for data visualization.
Features:
- Track income, expenses, and savings
- AI-powered insights based on spending habits
- Monthly budget recommendations
- Progress tracking with graphs
Learning Path: Machine learning, financial data management, and user personalization.
Open-source Focus: Allows for additional AI modules, spending suggestions, and enhanced financial analysis.

57. Advanced Beginner: Virtual Journal with Mood Tracking

Description: A journal app that allows users to log entries with mood tracking.
Tech Stack: React, Firebase, Tailwind CSS, Chart.js.
Features:
- Daily journal entry with mood indicators
- Mood trend analysis over time
- Secure storage and private access
- Searchable journal history
Learning Path: CRUD with Firebase, chart integration, and authentication.
Open-source Focus: Contributors can add mood-based insights, additional journal themes, or export options.

58. Advanced: E-commerce Store with Augmented Reality (AR)

Description: Build an e-commerce store with AR functionality where users can preview products in their space.
Tech Stack: Next.js, Node.js, AR.js, Firebase for data storage.
Features:
- Product catalog with AR previews
- Cart and checkout with Stripe integration
- Product recommendations and reviews
- User profiles with order history
Learning Path: AR.js for augmented reality, e-commerce flows, and payment integration.
Open-source Focus: Ideal for developing features like AR animations, new payment gateways, and improved AR product views.

59. Intermediate: AI Chatbot with Contextual Understanding

Description: A chatbot that provides responses based on context, useful for customer service.
Tech Stack: React, Node.js, Dialogflow for NLP, Firebase for data storage.
Features:
- Context-aware conversation flow
- Customizable responses and triggers
- User feedback for response improvement
- Analytics for chatbot interactions
Learning Path: NLP with Dialogflow, data handling, and analytics.
Open-source Focus: Encourages contributions for new chatbot scripts, analytics features, and improved conversational accuracy.

60. Advanced: Decentralized Voting System on Blockchain

Description: A secure voting platform on blockchain for private and tamper-proof elections.
Tech Stack: Solidity, React, MetaMask, Ethereum, Web3.js.
Features:
- Voter registration and verification
- Tamper-proof voting and result transparency
- Election history and audit trails
- Wallet-based voting system
Learning Path: Blockchain smart contracts, decentralized apps, and Web3.js.
Open-source Focus: Contributions can focus on UI enhancements, integrating new voting methods, and analytics for results.

61. Beginner: Daily Affirmations App

Description: Build a daily affirmations app that delivers motivational quotes to users.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Daily affirmation notifications
- Save favorite affirmations
- Dark and light theme toggle
- Customizable notification timing
Learning Path: Local storage, basic UI styling, and notification handling.
Open-source Focus: Great for new contributors to add more affirmations, personalized quotes, or voice-guided affirmations.

62. Advanced Beginner: Markdown Note-Taking App

Description: A note-taking app with Markdown support and text formatting options.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Write and format notes in Markdown
- Organize notes with tags and folders
- Autosave and version history for notes
- Export notes to PDF
Learning Path: Markdown formatting, data storage, and text editing.
Open-source Focus: Contributors can add themes, Markdown extensions, and more export options.

63. Intermediate: Real Estate Listing Platform

Description: A real estate listing platform with filtering, map integration, and user favorites.
Tech Stack: Next.js, MongoDB, Firebase, Google Maps API.
Features:
- Search and filter property listings
- Map integration with location markers
- User profiles with saved listings
- Image galleries and property details
Learning Path: API integration, data management, and UI components.
Open-source Focus: Ideal for adding new filters, rental or purchase options, and additional map integrations.

64. Advanced: Dynamic Data Dashboard with GraphQL

Description: A dynamic data dashboard that allows users to fetch, filter, and visualize data from multiple APIs using GraphQL.
Tech Stack: Next.js, Apollo GraphQL, MongoDB, Chart.js.
Features:
- GraphQL-based data fetching and filtering
- Customizable widgets for data visualization
- Data export options (CSV, PDF)
- User authentication for saving dashboards
Learning Path: GraphQL, data visualization, and API integration.
Open-source Focus: Contributors can add new data sources, chart types, or export formats.

65. Intermediate: Fitness Challenge App

Description: An app for users to join fitness challenges, log progress, and earn points.
Tech Stack: React, Firebase, Tailwind CSS, Chart.js.
Features:
- Join and track progress in fitness challenges
- Earn points for completed activities
- Leaderboard for top participants
- Personalized goals and rewards
  - Learning Path: State management, user interaction, and leaderboard creation.
Open-source Focus: Encourages contributions for challenge customization, user badges, and community rewards.

66. Expert: Decentralized File Storage on IPFS

Description: A file storage platform that leverages IPFS for secure and decentralized file storage.
Tech Stack: React, IPFS, MetaMask, Web3.js, Firebase for metadata storage.
Features:
- Upload files to IPFS with content hashing
- User authentication via MetaMask
- Encrypted file storage and retrieval
- Activity log for file actions
Learning Path: IPFS, blockchain integration, and encryption.
Open-source Focus: Supports contributions like additional encryption layers, access controls, and enhanced metadata handling.

67. Advanced Beginner: Personal Library Catalog

Description: A personal library catalog where users can log, organize, and review books they own.
Tech Stack: React, Local Storage or Firebase, Tailwind CSS.
Features:
- Add and organize books with custom tags
- Search by title, author, or genre
- Add ratings and reviews for each book
- Book tracking for read/unread status
Learning Path: CRUD operations, data organization, and search functionality.
Open-source Focus: Ideal for adding advanced filters, multi-user support, or book recommendation features.

68. Intermediate: Customer Relationship Management (CRM) Tool

Description: Build a CRM tool for small businesses to manage customers, track leads, and analyze sales performance.
Tech Stack: React, Node.js, MongoDB, Firebase for authentication.
Features:
- Customer and lead management with notes
- Sales pipeline tracking and status updates
- Analytics for sales and customer interactions
- Multi-user access with role-based permissions
Learning Path: Data handling, CRUD, and analytics.
Open-source Focus: Encourages contributions for advanced analytics, email integrations, and custom reporting features.

69. Expert: Stock Trading Simulator with AI Predictions

Description: Develop a stock trading simulator with AI predictions based on market trends, allowing users to practice trading.
Tech Stack: Next.js, Node.js, MongoDB, TensorFlow.js, Stock Market API.
Features:
- Buy and sell stocks with virtual funds
- AI-powered market trend predictions
- Portfolio tracking with performance metrics
- Leaderboard and ranking for top traders
Learning Path: AI for trend prediction, financial data handling, and performance analytics.
Open-source Focus: Ideal for adding new market indicators, more stock data sources, and trading algorithms.

70. Beginner: Recipe Finder with Favorites

Description: A simple recipe finder app where users can search for recipes and save favorites.
Tech Stack: React, Spoonacular API for recipes, Local Storage.
Features:
- Search recipes by keyword
- View detailed recipe instructions and ingredients
- Save recipes to a favorites list
- Simple UI for browsing and managing favorites
Learning Path: API handling, local storage for persistence, and component-based UI.
Open-source Focus: Contributors can add advanced filters, shareable recipe links, and personalized recommendations.

71. Intermediate: Budget Planner with Monthly Analysis

Description: A budgeting app that helps users track expenses and visualize monthly spending habits.
Tech Stack: React, Firebase, Chart.js for analytics, Tailwind CSS.
Features:
- Expense logging with categories
- Monthly spending analysis with charts
- Budget tracking and alerts for overspending
- Detailed breakdowns by category
Learning Path: Data handling with Firebase, chart visualization, and user interactions.
Open-source Focus: Allows for the addition of budget templates, spending insights, and alerts for unusual spending.

72. Advanced Beginner: Minimalist Habit Tracker

Description: A simple habit tracker where users can set daily habits and track their consistency over time.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add and customize daily habits
- Visualize streaks and consistency
- Basic analytics for habit completion
- Reminders for daily check-ins
Learning Path: Local storage, component state management, and data visualization.
Open-source Focus: Great for adding progress graphs, streak tracking, and user insights.

73. Expert: Real-Time Sports Scoreboard

Description: A real-time sports scoreboard for live scores, stats, and commentary.
Tech Stack: React, Node.js, Socket.IO, Firebase, and Sports API.
Features:
- Real-time score updates and statistics
- Live commentary and highlights
- Notifications for key events (e.g., goals, touchdowns)
- Game history and performance charts
Learning Path: WebSocket for real-time updates, sports API integration, and data handling.
Open-source Focus: Contributors can add support for different sports, advanced stats, and real-time commentary integration.

74. Intermediate: Personal Finance and Investment Tracker

Description: An app to track personal finances, investments, and stock performance in one place.
Tech Stack: React, Firebase, Chart.js for visualization, Stock Market API.
Features:
- Track expenses and investments by category
- Monitor stock performance and portfolio growth
- Monthly finance analysis and goals
- Customizable dashboard with key metrics
Learning Path: Financial data handling, stock API integration, and user personalization.
Open-source Focus: Great for adding investment strategies, personalized recommendations, and more stock data sources.

75. Advanced Beginner: Task Manager with Categories

Description: A simple task manager where users can organize tasks by categories and priority.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add, edit, and delete tasks
- Organize tasks into customizable categories
- Priority-based sorting and filtering
- Reminders and notifications for deadlines
Learning Path: CRUD functionality, local storage, and category filtering.
Open-source Focus: Ideal for adding task color coding, category analytics, and recurring tasks.

76. Expert: Blockchain-based Document Authentication System

Description: A document authentication system on the blockchain for tamper-proof certification.
Tech Stack: Solidity, React, MetaMask, Ethereum, Web3.js.
Features:
- Upload and verify documents with blockchain hashing
- User wallet integration for signing and verification
- Tamper-proof history for document validation
- Detailed transaction logs for each document
Learning Path: Blockchain smart contracts, Web3.js, and document security.
Open-source Focus: Contributions can focus on UI enhancements, integrating document types, and validation analytics.

77. Advanced Beginner: Mood Tracker with Weekly Insights

Description: A mood-tracking app where users can log daily moods and receive weekly insights.
Tech Stack: React, Local Storage, Chart.js for visualization, Tailwind CSS.
Features:
- Daily mood logging with icons or color-coding
- Weekly and monthly mood analytics
- Journal entries for mood context
- Searchable history and notes
Learning Path: CRUD with local storage, chart integration, and mood visualization.
Open-source Focus: Contributors can add custom mood analytics, export functionality, or mood-based recommendations.

78. Intermediate: Travel Planning and Expense Tracker

Description: An app where users can plan trips, set budgets, and track expenses along the way.
Tech Stack: Next.js, Firebase for storage, Google Maps API.
Features:
- Trip itinerary planning with locations
- Expense tracking per trip
- Map integration for route planning
- Detailed travel reports with budget analysis
Learning Path: Maps API integration, CRUD with Firebase, and budget handling.
Open-source Focus: Great for community contributions like weather updates, suggested attractions, and budget-saving tips.

79. Advanced: Social Media Dashboard with Analytics

Description: A social media dashboard to analyze engagement across multiple platforms.
Tech Stack: React, MongoDB, Firebase, Chart.js for data visualization, and social media APIs.
Features:
- Track followers, likes, and engagement rates
- Comparative analysis across platforms
- Weekly and monthly trend reports
- Notifications for significant milestones
Learning Path: API integration, data analytics, and chart visualization.
Open-source Focus: Supports contributions for custom analytics, platform-specific insights, and engagement predictions.

80. Intermediate: Voice-Activated Personal Assistant

Description: Build a personal assistant app that can respond to voice commands and perform simple tasks.
Tech Stack: React, Firebase, Speech Recognition API.
Features:
- Recognize and execute voice commands
- Perform tasks like reminders, weather, and search
- Store frequently used commands
- Feedback and error-handling for failed commands
Learning Path: Speech recognition, command handling, and Firebase.
Open-source Focus: Encourages contributions for advanced command features, personalized responses, and multi-language support.

81. Advanced Beginner: Minimalist Budget Tracker

Description: A minimalist budget tracker to help users manage daily expenses.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Track daily and monthly expenses
- Simple category tagging for each expense
- Graphical representation of spending habits
- Budget notifications for overspending
Learning Path: Data handling, local storage, and user interface design.
Open-source Focus: Allows contributors to add categories, advanced analytics, and budgeting tips.

82. Expert: Automated Job Application Tracker

Description: A job application tracker that automates application submission and follows up with reminders.
Tech Stack: Next.js, Node.js, MongoDB, Selenium for automation.
Features:
- Job tracking by company, position, and status
- Auto-apply to job listings based on resume and criteria
- Reminders for follow-up and interview preparation
- Analytics for success rates and application insights
Learning Path: Web scraping with Selenium, job data handling, and automation.
Open-source Focus: Great for contributions in application scheduling, resume parsing, and analytics.

83. Intermediate: Blogging Platform with Media Upload

Description: A blogging platform where users can write, edit, and upload media (images, videos) in their posts.
Tech Stack: Next.js, Firebase for media storage, Tailwind CSS.
Features:
- Article creation with rich text and media support
- Commenting and liking on posts
- User profiles and follower counts
- Media upload and organization for articles
Learning Path: Media upload with Firebase, CRUD operations, and rich text editing.
Open-source Focus: Ideal for adding article templates, media analytics, and sharing features.

84. Advanced Beginner: Goal Tracker with Progress Analytics

Description: A goal-tracking app where users can set personal goals and track progress visually.
Tech Stack: React, Local Storage, Chart.js for visualization, Tailwind CSS.
Features:
- Set, edit, and delete goals with deadlines
- Visual progress tracking for each goal
- Notifications for goal milestones
- Goal completion analytics and insights
Learning Path: CRUD functionality, chart visualization, and data persistence.
Open-source Focus: Contributors can add goal categories, priority tags, and milestone rewards.

85. Expert: NFT Marketplace with Auction Mechanism

Description: Develop an NFT marketplace where users can list, buy, and auction NFTs.
Tech Stack: Solidity, React, MetaMask, Ethereum, Web3.js.
Features:
- NFT minting and listing for sale
- Auction system for NFT bidding
- Secure wallet integration for transactions
- Transaction history and NFT analytics
Learning Path: NFT creation, blockchain auction mechanics, and marketplace UI.
Open-source Focus: A perfect platform for adding auction customization, fee structures, and analytics.

86. Intermediate: Study Planner with Calendar Integration

Description: A study planner to help students organize assignments, tests, and study sessions with a calendar view.
Tech Stack: React, Firebase, Calendar API.
Features:
- Add, edit, and organize study tasks
- Calendar view for assignment deadlines and tests
- Progress tracking for completed tasks
- Notifications and reminders for due dates
Learning Path: Calendar API integration, CRUD with Firebase, and progress tracking.
Open-source Focus: Ideal for adding study templates, peer sharing, and group study planning.

87. Advanced Beginner: Simple Chat Application with Emojis

Description: A basic chat application with emoji support and customizable themes.
Tech Stack: React, Firebase for chat data, Emoji Picker.
Features:
- Real-time messaging and emoji support
- Customizable themes and fonts
- User profiles and typing indicators
- Chat history with search functionality
Learning Path: Real-time chat with Firebase, emoji integration, and theme customization.
Open-source Focus: Encourages contributions for GIF support, user blocking, and additional themes.

88. Advanced: AI-Powered Virtual Stylist

Description: Build an AI-powered fashion stylist app where users can get outfit suggestions based on their wardrobe, occasion, and weather.
Tech Stack: React, Firebase, TensorFlow.js for AI, Weather API.
Features:
- Wardrobe management and outfit catalog
- AI-based outfit suggestions for occasions and weather
- Personalized style recommendations
- Social sharing for favorite outfits
Learning Path: Machine learning for recommendations, weather API integration, and user personalization.
Open-source Focus: Contributors can add more outfit templates, style preferences, and AI improvements.

89. Intermediate: Online Whiteboard with Collaborative Drawing

Description: A collaborative online whiteboard where users can draw, write, and brainstorm together in real-time.
Tech Stack: React, Firebase for real-time data, WebSockets for collaboration.
Features:
- Real-time drawing and writing tools
- Multiple user collaboration with chat
- Save and share whiteboards
- Zoom and pan functionality
Learning Path: Real-time data handling, WebSocket integration, and drawing tools.
Open-source Focus: Ideal for adding new drawing tools, canvas shapes, and collaboration features like video chat.

90. Beginner: Meditation and Relaxation App

Description: A meditation app with guided sessions, ambient sounds, and breathing exercises.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Meditation session timers
- Background sounds (nature, white noise)
- Breathing exercises with visual guidance
- Track and save meditation sessions
Learning Path: Basic UI development, timer management, and user experience design.
Open-source Focus: Great for adding more meditation sounds, guided sessions, and progress tracking.

91. Expert: Smart Home Automation Control Panel

Description: A control panel to manage IoT-enabled smart home devices like lights, thermostat, and security cameras.
Tech Stack: React, Firebase, IoT APIs, WebSockets for real-time updates.
Features:
- Control smart devices remotely
- Real-time device status updates
- Usage analytics and energy savings insights
- Voice command integration
Learning Path: IoT integration, real-time data with WebSockets, and voice command handling.
Open-source Focus: Supports additional IoT device integration, personalized automation rules, and security controls.

92. Advanced Beginner: Grocery List App with Categories

Description: A grocery list app where users can create lists, categorize items, and mark items as purchased.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add, edit, and organize grocery items by category
- Mark items as purchased
- Save multiple lists for different occasions
- Dark mode for better UI experience
Learning Path: Data organization, local storage, and component design.
Open-source Focus: Allows contributors to add features like list sharing, price tracking, and store-specific lists.

93. Intermediate: Audio Book Player with Chapter Highlights

Description: An audiobook player that allows users to listen to audiobooks, bookmark chapters, and highlight sections.
Tech Stack: React, Firebase for storage, HTML5 Audio API.
Features:
- Play, pause, and bookmark audio chapters
- Highlight sections and save notes
- User profiles for tracking books
- Speed control and audio quality settings
Learning Path: Audio handling with HTML5, Firebase for bookmarks, and user customization.
Open-source Focus: Contributions for new playback features, audio file organization, and enhanced bookmarking.

94. Expert: Decentralized Crowdfunding Platform on Blockchain

Description: A crowdfunding platform on blockchain where users can create projects and accept cryptocurrency donations.
Tech Stack: Solidity, React, MetaMask, Ethereum, Web3.js.
Features:
- Project creation and donation tracking
- Secure wallet-based donations
- Transparency with transaction logs
- Project milestones with funding goals
Learning Path: Blockchain smart contracts, decentralized payments, and Web3.js.
Open-source Focus: Ideal for adding fundraising analytics, goal tracking, and project updates.

95. Beginner: Daily Quotes Generator

Description: A simple app that displays a new motivational quote every day.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Display a new daily quote
- Save favorite quotes to a list
- Randomize quotes for more inspiration
- Simple UI with theme options
Learning Path: Basic data handling, local storage, and API fetching.
Open-source Focus: Contributors can add more quote categories, daily notifications, and design customizations.

96. Intermediate: Video Streaming Platform with Chat

Description: Build a video streaming platform with real-time chat for live events or shows.
Tech Stack: Next.js, Node.js, Firebase for storage, WebRTC for streaming.
Features:
- Live video streaming with WebRTC
- Real-time chat alongside the video
- User profiles with streaming history
- Notifications for upcoming events
Learning Path: Video streaming with WebRTC, real-time data with Firebase, and chat integration.
Open-source Focus: Great for adding features like screen sharing, user reactions, and improved chat functionalities.

97. Advanced Beginner: Simple Recipe Book

Description: A recipe book app where users can save and categorize their favorite recipes.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add and categorize recipes
- Search recipes by ingredients or title
- Bookmark favorite recipes
- Dark mode for readability
Learning Path: Data organization, local storage, and simple UI design.
Open-source Focus: Allows contributors to add recipe sharing, custom tags, and advanced search filters.

98. Expert: Decentralized Identity Verification System

Description: Build a decentralized identity verification system to provide secure digital identities on blockchain.
Tech Stack: Solidity, React, MetaMask, Ethereum, IPFS for storage.
Features:
- Verify identity with smart contracts
- Secure storage on IPFS
- User profile with verification history
- Cross-platform identity integration
Learning Path: Blockchain for identity verification, IPFS for secure storage, and Web3 integration.
Open-source Focus: Ideal for adding multi-factor authentication, biometric verification, and enhanced security protocols.

99. Intermediate: Music Playlist Curator with API Integration

Description: An app where users can curate playlists and fetch recommendations from a music API.
Tech Stack: React, Spotify API, Firebase.
Features:
- Playlist creation and customization
- Fetch song recommendations from Spotify
- Favorite and share playlists
- Filter songs by genre and mood
Learning Path: API integration, data management, and playlist customization.
Open-source Focus: Contributors can add new music sources, playlist themes, and personalized recommendations.

100. Advanced Beginner: Workout Logger with Timer

Description: A simple workout logger where users can record exercises and track workout time.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Log exercises with reps and sets
- Timer for tracking workout duration
- Save workout sessions for progress tracking
- Categorize exercises by type
Learning Path: Data persistence, time tracking, and user interaction.
Open-source Focus: Encourages additions like workout recommendations, calorie tracking, and custom exercise categories.

101. Advanced: AI-Powered Resume Scanner and Job Matcher

Description: An AI-powered tool that scans resumes and matches them to job listings based on keywords and skills.
Tech Stack: React, Node.js, MongoDB, TensorFlow.js for NLP.
Features:
- Upload and scan resumes
- AI-powered keyword extraction for skills
- Job matching based on resume content
- Feedback and suggestions for resume improvement
Learning Path: NLP for keyword extraction, AI model training, and resume parsing.
Open-source Focus: Ideal for adding industry-specific keywords, job recommendations, and resume analytics.

102. Intermediate: Personal Recipe Generator

Description: A recipe generator that suggests recipes based on ingredients the user has on hand.
Tech Stack: React, Firebase, Spoonacular API for recipes.
Features:
- Search recipes by available ingredients
- Save and favorite generated recipes
- User profile with dietary preferences
- Share recipes with friends
Learning Path: API handling, Firebase for data storage, and user customization.
**Open-source

Focus**: Contributors can add dietary filtering, advanced ingredient substitution, and more recipe sources.

103. Advanced Beginner: Daily Journal with Sentiment Analysis

Description: A journal app with a sentiment analysis tool to track emotional trends.
Tech Stack: React, Firebase, TensorFlow.js for sentiment analysis.
Features:
- Write and save daily journal entries
- Sentiment analysis for each entry
- View emotional trends over time
- Private storage and secure login
Learning Path: Sentiment analysis with TensorFlow.js, data visualization, and private storage.
Open-source Focus: Allows for the addition of detailed emotion categorization, sentiment export, and more analysis tools.

104. Expert: Real-Time Stock Market Trading Simulator

Description: A simulator for real-time stock trading with virtual funds and leaderboards.
Tech Stack: Next.js, Node.js, MongoDB, Stock Market API, WebSockets.
Features:
- Real-time stock price updates
- Buy and sell stocks with virtual currency
- Portfolio tracking with performance charts
- Leaderboards and achievement badges
Learning Path: Real-time data handling, trading logic, and financial analytics.
Open-source Focus: Perfect for adding investment strategies, new market data sources, and trading bots.

105. Intermediate: Customizable Goal Setting App

Description: A goal-setting app where users can set, track, and share their personal goals.
Tech Stack: React, Firebase, Tailwind CSS, Chart.js for tracking.
Features:
- Set and customize personal goals
- Track progress with visual charts
- Reminders for goal check-ins
- Share goals with friends for accountability
Learning Path: CRUD with Firebase, chart integration, and goal tracking.
Open-source Focus: Contributors can add group goals, motivational rewards, and advanced goal types.

106. Beginner: Daily Planner with Calendar View

Description: A daily planner that allows users to schedule tasks, view upcoming events, and set reminders.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add, edit, and delete tasks
- Calendar view for daily, weekly, and monthly plans
- Reminders for tasks and events
- Color-coded categories for tasks
Learning Path: Local storage, calendar UI, and reminder notifications.
Open-source Focus: Contributors can add recurring tasks, theme customization, and more notification options.

107. Intermediate: Quiz Platform with Leaderboards

Description: A quiz platform where users can create quizzes, play, and compete on leaderboards.
Tech Stack: Next.js, Firebase, Tailwind CSS.
Features:
- Create and take quizzes in different categories
- Timed questions and instant feedback
- Track scores and earn achievements
- Leaderboards for high scores
Learning Path: Data handling with Firebase, real-time leaderboards, and user interactions.
Open-source Focus: Great for adding more quiz categories, time-based challenges, and personalized quiz recommendations.

108. Advanced: Cryptocurrency Price Tracker with Alerts

Description: A cryptocurrency tracker that monitors real-time prices, and notifies users of price changes.
Tech Stack: React, Node.js, WebSocket, CoinGecko API, MongoDB.
Features:
- Real-time cryptocurrency price updates
- Customizable alerts for price changes
- Historical data and price trends
- Portfolio tracker for selected cryptocurrencies
Learning Path: WebSocket for real-time data, financial data handling, and alert notifications.
Open-source Focus: Contributors can add more analysis tools, price prediction, and support for additional cryptocurrencies.

109. Advanced Beginner: Simple Timer and Stopwatch

Description: A simple timer and stopwatch app for productivity tracking.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Set timers for specific tasks
- Start, pause, and reset functionality
- Lap and split-time tracking
- Dark mode for night usage
Learning Path: Timer logic, local storage, and component state management.
Open-source Focus: Great for adding custom themes, sound alerts, and lap history.

110. Expert: AI-Powered Grammar Checker

Description: An AI-powered grammar checker that provides suggestions for text improvements.
Tech Stack: React, Node.js, MongoDB, TensorFlow.js for NLP.
Features:
- Real-time grammar and spelling suggestions
- Alternative phrasing and synonym suggestions
- Error explanations and improvements
- Text history and version control
Learning Path: NLP with TensorFlow.js, language processing, and text analysis.
Open-source Focus: Ideal for adding more languages, writing styles, and contextual recommendations.

111. Intermediate: Recipe Sharing Platform with Ratings

Description: A recipe-sharing platform where users can upload, rate, and save favorite recipes.
Tech Stack: Next.js, Firebase, Spoonacular API for recipes.
Features:
- Search and filter recipes by ingredients and cuisine
- Rate and review recipes
- Save and organize favorite recipes
- Explore trending and popular recipes
Learning Path: API integration, data filtering, and rating systems.
Open-source Focus: Great for adding dietary preferences, custom recipe categories, and sharing features.

112. Advanced Beginner: Weather App with Geolocation

Description: A weather app that detects the user’s location and provides real-time weather data.
Tech Stack: React, OpenWeatherMap API, Tailwind CSS.
Features:
- Detect location and fetch weather data
- 7-day weather forecast and temperature trends
- Dark mode for night viewing
- Save favorite locations for quick access
Learning Path: API integration, geolocation, and data visualization.
Open-source Focus: Contributors can add weather alerts, location-based widgets, and enhanced UI features.

113. Advanced: Real Estate Marketplace with Map Integration

Description: A real estate marketplace where users can browse and list properties with an interactive map.
Tech Stack: Next.js, Node.js, MongoDB, Google Maps API.
Features:
- List and view properties by location
- Search by price range, bedrooms, and other filters
- Interactive map view with property pins
- Save properties and set alerts for new listings
Learning Path: Maps integration, CRUD operations, and filtering.
Open-source Focus: Ideal for adding more filtering options, advanced map features, and pricing analytics.

114. Expert: Blockchain-Based Document Notarization Platform

Description: A document notarization platform on the blockchain for secure and tamper-proof records.
Tech Stack: Solidity, React, MetaMask, Ethereum, IPFS for document storage.
Features:
- Document upload and blockchain hashing
- Notarization history and verification
- IPFS for decentralized storage
- User wallet integration for secure access
Learning Path: Blockchain notarization, decentralized storage, and document security.
Open-source Focus: Contributors can add multi-user notarization, document categorization, and audit logs.

115. Beginner: Expense Tracker with Simple Analytics

Description: An expense tracker app where users can log expenses and view monthly summaries.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Log and categorize daily expenses
- Monthly expense summary and charts
- Set budgets and track overspending
- Export expenses to CSV
Learning Path: Local storage for data, CRUD operations, and chart integration.
Open-source Focus: Allows contributors to add analytics, custom categories, and more export formats.

116. Advanced Beginner: Vocabulary Builder with Flashcards

Description: A vocabulary builder app that uses flashcards and spaced repetition for learning new words.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Create, edit, and organize flashcards by category
- Spaced repetition learning technique
- Track progress and mastery levels
- Notifications for daily review reminders
Learning Path: Data storage, spaced repetition, and flashcard UI.
Open-source Focus: Contributors can add language-specific word packs, tracking analytics, and progress charts.

117. Expert: Decentralized Social Media Platform

Description: A decentralized social media platform where users can post, like, and comment, with data stored on the blockchain.
Tech Stack: Solidity, React, IPFS for storage, Web3.js, MetaMask for authentication.
Features:
- Create posts and interact with other users
- Decentralized storage for user data on IPFS
- Likes and comments with transparent logs
- Profile management with blockchain-based ID
Learning Path: Blockchain and IPFS, Web3.js for decentralized interactions, and authentication.
Open-source Focus: Enables contributions like content moderation, customizable feeds, and privacy options.

118. Intermediate: Collaborative Task Management Tool

Description: A task management tool with real-time collaboration, ideal for teams and projects.
Tech Stack: React, Firebase for real-time data, Tailwind CSS.
Features:
- Assign tasks to team members
- Real-time collaboration with updates
- Task statuses and priority levels
- Team chat for discussions
Learning Path: Real-time data handling, task management, and team collaboration.
Open-source Focus: Contributors can add calendar integration, task dependencies, and user analytics.

119. Advanced Beginner: Habit Streak Tracker

Description: A habit tracking app that motivates users by visualizing streaks and consistency.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Track habits daily with streak visuals
- Set reminders and notifications for habits
- Weekly and monthly habit analytics
- Customizable colors and themes
Learning Path: Local storage for data, notification API, and habit analytics.
Open-source Focus: Allows for advanced streak tracking, social sharing, and user milestones.

120. Expert: AI-Based Health Analysis Dashboard

Description: A health dashboard that provides insights into health data collected from wearable devices, powered by AI.
Tech Stack: React, Node.js, Firebase, TensorFlow.js, IoT device integration.
Features:
- Real-time health data sync from devices
- AI analysis for health trend insights
- Weekly and monthly health reports
- Health alerts and goal setting
Learning Path: IoT integration, AI data analysis, and health data visualization.
Open-source Focus: Supports contributions for device compatibility, advanced health analytics, and health goal tracking.

121. Intermediate: Real-Time Chat Support Widget

Description: A live chat widget for websites, enabling real-time customer support.
Tech Stack: React, Node.js, Firebase for chat data, WebSocket for real-time messaging.
Features:
- Real-time chat support with typing indicators
- Support ticket creation and management
- Canned responses for quick replies
- Analytics for support performance
Learning Path: Real-time communication, ticket management, and customer interaction analytics.
Open-source Focus: Great for adding integrations like chatbot support, analytics, and customer feedback.

122. Beginner: Workout Routine Planner

Description: A workout planner where users can create and save exercise routines.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add and organize exercises into routines
- Set goals and track progress
- Log completed workouts
- Timer for workout sets
Learning Path: Data organization, routine creation, and local storage for persistence.
Open-source Focus: Allows contributors to add exercise libraries, community routines, and advanced tracking analytics.

123. Expert: Peer-to-Peer Cryptocurrency Exchange

Description: A decentralized cryptocurrency exchange for peer-to-peer trading with smart contracts.
Tech Stack: Solidity, React, Ethereum, MetaMask, Web3.js.
Features:
- Direct peer-to-peer crypto trading
- Wallet integration with MetaMask
- Transaction history and order book
- Real-time pricing and trading analytics
Learning Path: Smart contract trading, Web3 integration, and financial data handling.
Open-source Focus: Contributors can add trading bots, multi-token support, and secure escrow mechanisms.

124. Intermediate: Event Management and Ticketing System

Description: An event management platform with ticketing and registration features.
Tech Stack: Next.js, Firebase, Stripe for payments.
Features:
- Event creation and ticketing
- User registration and RSVP tracking
- QR code generation for tickets
- Payments via Stripe integration
Learning Path: Payment processing, user registration, and event management.
Open-source Focus: Allows for multi-event management, guest lists, and ticket transfer options.

125. Advanced: AI-Driven Sales Forecasting Platform

Description: A sales forecasting app powered by AI to predict revenue and inventory needs.
Tech Stack: React, Node.js, MongoDB, TensorFlow.js for AI.
Features:
- Sales data analysis and forecasting
- Visual sales trends and seasonal adjustments
- Inventory planning based on forecasts
- Customizable forecast intervals
Learning Path: AI for data forecasting, financial analysis, and sales data handling.
Open-source Focus: Great for contributors interested in enhancing predictive algorithms, visualization options, and analytics dashboards.

126. Beginner: Countdown Timer App

Description: A countdown timer where users can set a timer for specific events or tasks.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Set, pause, and reset countdowns
- Save frequently used timers
- Notifications when timer ends
- Option for background themes
Learning Path: Timer handling, local storage, and user interaction.
Open-source Focus: Contributors can add timer presets, sound alerts, and widget modes.

127. Intermediate: Personal Budgeting Tool with Multi-Currency Support

Description: A budgeting app where users can set financial goals and track expenses in multiple currencies.
Tech Stack: Next.js, Firebase, Exchange Rate API, Chart.js.
Features:
- Add expenses and categorize them
- Set budgets with multi-currency support
- Visual analytics for spending
- Currency conversion based on current rates
Learning Path: Currency conversion, budget tracking, and Firebase.
Open-source Focus: Contributors can add advanced analytics, reminders for budget limits, and personal finance tips.

128. Expert: AI-Powered Language Translator

Description: A translation app with speech-to-text and text-to-speech support powered by AI.
Tech Stack: React, TensorFlow.js for NLP, Firebase, Google Translate API.
Features:
- Text and speech translation
- Language detection and auto-translation
- Text-to-speech for spoken output
- Phrasebook for saved translations
Learning Path: NLP, text and speech processing, and Firebase for persistence.
Open-source Focus: Allows contributions like regional dialect support, translation accuracy improvements, and language expansion.

129. Advanced Beginner: Habit Calendar

Description: A calendar app to track daily habits and visualize consistency.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Daily check-in for each habit
- Visual calendar with completion streaks
- Monthly habit tracking and reports
- Customizable habit categories and icons
Learning Path: Calendar view, local storage for persistence, and habit analytics.
Open-source Focus: Contributors can add reminders, habit-sharing features, and streak challenges.

130. Intermediate: Collaborative Notes with Markdown Support

Description: A note-taking app for collaborative markdown editing.
Tech Stack: React, Firebase for real-time data, Markdown editor.
Features:
- Real-time collaborative editing
- Markdown support for rich formatting
- Save and organize notes by category
- Sharing and commenting options
Learning Path: Real-time collaboration, markdown handling, and Firebase data storage.
Open-source Focus: Great for adding templates, export options, and integrations like Google Drive.

131. Expert: Decentralized Voting App with Privacy Protocols

Description: A decentralized voting platform that ensures privacy and transparency.
Tech Stack: Solidity, React, MetaMask, Ethereum, zk-SNARKs for privacy.
Features:
- Secure vote casting and tallying
- Privacy protection with zero-knowledge proofs
- Transparent, tamper-proof audit trails
- Voter registration and verification
Learning Path: Blockchain for voting, zk-SNARKs, and decentralized protocols.
Open-source Focus: Ideal for contributors to expand privacy protocols, improve scalability, and add more election features.

132. Beginner: Digital Flashcards with Spaced Repetition

Description: An app for creating digital flashcards and learning using spaced repetition.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Create and organize flashcards
- Spaced repetition algorithm for improved learning
- Progress tracking with mastery levels
- Notifications for review reminders
Learning Path: Data storage, spaced repetition, and review scheduling.
Open-source Focus: Contributions can add custom study modes, themed flashcards, and new languages.

133. Intermediate: Customizable CRM for Small Businesses

Description: A customer relationship management app tailored for small businesses.
Tech Stack: Next.js, Firebase for storage, Stripe for subscription.
Features:
- Customer profile management
- Sales tracking and analytics
- Email automation for follow-ups
- Tiered pricing with Stripe subscription
Learning Path: CRUD operations, Firebase for data storage, and payment integration.
Open-source Focus: Contributors can add CRM analytics, pipeline stages, and integrations with email platforms.

134. Expert: Automated Email Marketing Platform with Analytics

Description: An email marketing platform with automation workflows and analytics for campaign optimization.
Tech Stack: React, Node.js, MongoDB, SendGrid API for email, Firebase.
Features:
- Email templates and customization
- Automation workflows for campaigns
- Detailed analytics for open rates and clicks
- Customer segmentation for targeted campaigns
Learning Path: Email automation, user analytics, and campaign management.
Open-source Focus: Enables contributions for more email templates, A/B testing features, and customer analytics.

135. Advanced Beginner: Pomodoro Timer with Task Integration

Description: A Pomodoro timer integrated with task management for productivity tracking.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Task organization with Pomodoro timers
- Timers for focused work and break intervals
- Track completed tasks and time spent
- Simple, minimalist UI with themes
Learning Path: Timer logic, local storage, and task organization.
Open-source Focus: Great for adding advanced analytics, recurring task management, and reminders.

136. Intermediate: Personal Investment Dashboard with Market Insights

Description: A dashboard for tracking personal investments with market insights and news.
Tech Stack: React, Node.js, Firebase, Stock Market API.
Features:
- Track stocks, crypto, and mutual funds
- Portfolio performance tracking
- Market news and trend analysis
- Watchlist with price alerts
Learning Path: API integration, financial data handling, and portfolio analytics.
Open-source Focus: Contributors can add market analytics, prediction tools, and more investment types.

137. Advanced: AI-Driven Content Creation Platform

Description: A content creation platform that generates blog ideas, outlines, and assists with SEO optimization.
Tech Stack: React, Node.js, MongoDB, OpenAI API.
Features:
- AI-powered blog title and outline suggestions
- SEO recommendations for improved visibility
- Content analysis and readability scoring
- Save and edit content drafts
Learning Path: AI-driven content generation, SEO analysis, and data handling.
Open-source Focus: Enables contributions for AI models, SEO enhancements, and integrations with CMS platforms.

138. Beginner: Personal Book Library

Description: A virtual library where users can organize, categorize, and review their book collection.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add and organize books by genre and status
- Rate and review books
- Track reading history and completion status
- Simple UI with search and filter options
Learning Path: Data organization, local storage, and book management.
Open-source Focus: Ideal for adding advanced filters, reading goals, and book recommendations.

139. Intermediate: Real-Time Collaboration Platform for Teams

Description: A platform that facilitates real-time collaboration on projects with chat, file sharing, and task tracking.
Tech Stack: React, Node.js, Firebase, WebSocket for real-time updates.
Features:
- Task assignment and progress tracking
- Real-time chat and file sharing
- Kanban board for project management
- Team notifications and alerts
Learning Path: WebSocket for real-time updates, project management, and team communication.
Open-source Focus: Contributors can add Gantt charts, advanced permissions, and integration with external tools like Google Drive.

140. Expert: NFT-Based Art Gallery Platform

Description: A platform for showcasing digital art as NFTs, allowing artists to upload, mint, and sell their art.
Tech Stack: Solidity, React, Ethereum, IPFS for storage.
Features:
- NFT minting and listing for sale
- Artist and buyer profiles with portfolios
- Secure transactions and wallet integration
- Favorites and wishlist for buyers
Learning Path: NFT creation, IPFS storage, and blockchain-based transactions.
Open-source Focus: Great for adding artist support, more payment options, and enhanced gallery features.

141. Intermediate: AI Personal Finance Assistant

Description: A simple, minimalist to-do list app for daily task management.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add, edit, and delete tasks
- Organize tasks by categories
- Mark tasks as completed
- Dark and light themes
Learning Path: Basic CRUD operations, local storage, and UI design.
Open-source Focus: Ideal for adding priority tags, recurring tasks, and notifications.

142. Expert: IoT Smart Garden Management System

Description: A personal finance assistant that provides budget recommendations, monitors spending, and gives insights based on financial habits.
Tech Stack: React, Node.js, Firebase, TensorFlow.js for AI.
Features:
- Budget tracking and expense categorization
- AI-driven insights for spending patterns
- Monthly financial summaries and forecasts
- Notifications for budget limits and savings tips
Learning Path: AI for financial insights, data management, and spending analytics.
Open-source Focus: Contributors can add new insights, custom financial goals, and support for multiple currencies.

143. Beginner: Personal Diary with Mood Tracker

Description: A smart garden system that monitors soil moisture, temperature, and automatically waters plants.
Tech Stack: React, Node.js, Firebase, IoT devices, MQTT for real-time data.
Features:
- Real-time monitoring of soil and environmental data
- Automated watering and alert system
- Data history and growth analytics
- Remote access to control settings
Learning Path: IoT integration, MQTT protocol, and environmental analytics.
Open-source Focus: Ideal for adding new sensors, plant recommendations, and garden layout customization.

144. Intermediate: Real-Time Job Board with Notifications

Description: A diary app where users can log daily entries and track their mood over time.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Daily entry logging with mood tracking
- Mood calendar for visual trends
- Search entries by date or keywords
- Dark mode and custom themes
Learning Path: Data storage, mood tracking, and diary entry management.
Open-source Focus: Contributors can add mood analytics, tags, and export options.

145. Intermediate: Real-Time Job Board with Notifications

Description: A job board where users can post and search for job listings with real-time updates.
Tech Stack: React, Firebase, WebSocket for real-time data.
Features:
- Real-time job posting and searching
- Notifications for new job alerts
- Filter jobs by role, location, and experience
- Save jobs for later review
Learning Path: WebSocket for updates, filtering, and notification handling.
Open-source Focus: Great for adding advanced filters, salary insights, and application tracking.

146. Advanced Beginner: Personal Nutrition Tracker

Description: A nutrition tracker that helps users log meals and track nutrient intake.
Tech Stack: React, Firebase, Nutritionix API.
Features:
- Add meals and view nutritional data
- Track daily intake for calories, protein, etc.
- Set dietary goals and track progress
- Personalized suggestions based on dietary preferences
Learning Path: API integration, user data handling, and dietary tracking.
Open-source Focus: Contributors can add meal suggestions, export options, and more detailed nutrient tracking.

147. Intermediate: Social Media Content Scheduler

Description: A content scheduling tool for social media, allowing users to plan posts in advance.
Tech Stack: React, Firebase, Social Media APIs.
Features:
- Schedule posts across multiple platforms
- Calendar view of upcoming posts
- Analytics for engagement tracking
- Automated posting based on set times
Learning Path: API integration, data scheduling, and analytics.
Open-source Focus: Allows contributors to add support for additional platforms, scheduling templates, and content recommendations.

148. Expert: Decentralized Marketplace for Digital Goods

Description: A blockchain-based marketplace where users can buy and sell digital assets (e.g., software, art).
Tech Stack: Solidity, React, IPFS for storage, MetaMask, Web3.js.
Features:
- Mint and list digital assets as NFTs
- Decentralized wallet-based transactions
- Secure transaction history
- User ratings and asset analytics
Learning Path: Blockchain smart contracts, decentralized storage, and digital marketplace management.
Open-source Focus: Enables contributions in asset search optimization, rating algorithms, and payment flexibility.

149. Beginner: Shopping List with Categorized Items

Description: A shopping list app where users can categorize items and manage lists.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add and categorize items (e.g., groceries, electronics)
- Sort and prioritize items by category
- Mark items as purchased
- Save frequently used lists for quick access
Learning Path: Basic CRUD operations, data persistence, and list management.
Open-source Focus: Contributors can add price tracking, store-based lists, and list sharing.

150. Intermediate: Inventory Management System for Small Businesses

Description: An inventory management tool designed for small businesses to track stock and manage products.
Tech Stack: Next.js, Firebase, Tailwind CSS.
Features:
- Add and organize products with details
- Real-time inventory updates
- Sales tracking and low-stock alerts
- Reports for inventory valuation
Learning Path: Data handling, inventory analytics, and Firebase storage.
Open-source Focus: Enables contributions like multi-location tracking, barcode scanning, and export features.

151. Expert: AI-Powered Recruitment Platform

Description: A recruitment platform that matches candidates to jobs based on skills and past experience.
Tech Stack: React, Node.js, MongoDB, TensorFlow.js for AI.
Features:
- AI-powered job matching based on resume analysis
- Candidate tracking and interview scheduling
- Notifications for new job matches
- Company profiles and analytics
Learning Path: AI for matching, resume parsing, and recruitment analytics.
Open-source Focus: Allows contributors to add advanced candidate search, scheduling integrations, and resume improvements.

152. Beginner: Virtual Mood Journal with Daily Prompts

Description: A mood journal that provides daily prompts for users to reflect on their day.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Daily mood logging and reflection
- Customizable prompts for journaling
- Search and filter past entries
- Data visualization of mood trends
Learning Path: CRUD functionality, mood tracking, and data visualization.
Open-source Focus: Contributors can add prompt libraries, sentiment analysis, and export options.

153. Intermediate: Event Ticketing System with QR Code Verification

Description: A ticketing system for events with QR code generation and scanning.
Tech Stack: React, Node.js, Firebase, QR Code API.
Features:
- Event creation and ticket sales
- QR code generation for tickets
- Scanning for check-in verification
- Event attendance tracking and reporting
Learning Path: QR code handling, data management, and event tracking.
Open-source Focus: Great for adding guest lists, ticket sharing, and multi-event management.

154. Advanced: AI-Driven Social Media Sentiment Analysis

Description: An analysis tool that tracks and visualizes the sentiment of social media posts.
Tech Stack: React, Node.js, MongoDB, TensorFlow.js for NLP.
Features:
- Real-time sentiment analysis on social media posts
- Data visualization for sentiment trends
- Topic analysis to determine popular subjects
- Notifications for trending topics
Learning Path: NLP for sentiment analysis, real-time data handling, and social media analytics.
Open-source Focus: Ideal for adding sentiment history, topic tracking, and cross-platform data aggregation.

155. Beginner: Minimalist Habit Tracker with Streaks

Description: A simple habit-tracking app that motivates users by tracking habit streaks.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Track daily habits with streak visuals
- Set goals and milestones
- Visualize streaks and completion stats
- Notification reminders for consistency
Learning Path: Local storage, habit visualization, and streak tracking.
Open-source Focus: Contributors can add advanced analytics, social sharing, and group habits.

156. Intermediate: Collaborative Shopping List for Families

Description: A shared shopping list where family members can add, edit, and view items in real time.
Tech Stack: React, Firebase for real-time updates, Tailwind CSS.
Features:
- Real-time list sharing with updates
- Categories for different types of items
- Notifications for item changes
- Ability to mark items as bought
Learning Path: Real-time collaboration, data handling, and shared storage.
Open-source Focus: Ideal for adding multi-list functionality, family chat integration, and price tracking.

157. Expert: Real-Time Cryptocurrency Portfolio with AI Predictions

Description: A cryptocurrency portfolio with real-time price updates and AI-driven predictions.
Tech Stack: Next.js, Node.js, MongoDB, CoinGecko API, TensorFlow.js.
Features:
- Track portfolio with real-time prices
- AI-based predictions for market trends
- Historical data and trend analysis
- Notifications for significant market changes
Learning Path: AI-based prediction models, financial data analytics, and real-time updates.
Open-source Focus: Great for adding personalized alerts, AI enhancements, and multi-portfolio tracking.

158. Beginner: Personal Recipe Manager

Description: A recipe management app where users can save, categorize, and share recipes.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Save recipes with ingredients and instructions
- Categorize recipes by cuisine and meal type
- Share recipes with friends
- Mark recipes as favorite for quick access
Learning Path: Basic CRUD functionality, local storage, and data categorization.
Open-source Focus: Contributors can add custom filters, shareable links, and photo uploads.

159. Intermediate: Customizable Budget Planner

Description: A budget planner that allows users to create custom categories and track spending.
Tech Stack: React, Firebase, Chart.js for analytics.
Features:
- Add income and expenses by category
- Customizable categories with budgets
- Monthly spending analysis with charts
- Export data to CSV or PDF
Learning Path: Financial data management, Firebase storage, and analytics.
Open-source Focus: Enables contributions in advanced analytics, custom templates, and recurring expense tracking.

160. Expert: Decentralized Lending and Borrowing Platform

Description: A decentralized platform for peer-to-peer lending with smart contract security.
Tech Stack: Solidity, React, Ethereum, MetaMask, IPFS.
Features:
- Secure lending and borrowing with smart contracts
- User profiles and credit rating system
- Transaction history and analytics
- Wallet integration for seamless payments
Learning Path: Blockchain lending, smart contract development, and transaction security.
Open-source Focus: Ideal for adding advanced credit algorithms

, fraud prevention, and multi-asset support.

161. Beginner: Study Planner with Daily Reminders

Description: A study planner that allows students to organize study tasks and receive reminders.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add tasks with deadlines
- Daily reminders for study tasks
- Organize tasks by subject or project
- Track study time and completed tasks
Learning Path: CRUD functionality, local storage, and reminder notifications.
Open-source Focus: Great for adding study templates, scheduling options, and progress tracking.

162. Intermediate: Real-Time Traffic Monitoring Dashboard

Description: A traffic monitoring dashboard with live data on congestion and travel times.
Tech Stack: React, Node.js, Google Maps API, Firebase.
Features:
- Real-time traffic visualization on a map
- Alerts for accidents and road closures
- Live traffic analysis with charts
- Travel time estimation and routing suggestions
Learning Path: Real-time map integration, data handling, and route optimization.
Open-source Focus: Contributors can add weather impacts, predictive analysis, and commute suggestions.

163. Expert: AI-Powered Workout Planner

Description: A workout planner that suggests exercises based on goals, fitness level, and past performance.
Tech Stack: React, Node.js, Firebase, TensorFlow.js.
Features:
- Personalized exercise recommendations
- Progress tracking and workout analytics
- Set goals and receive tailored plans
- Video guides and exercise instructions
Learning Path: AI for recommendations, user customization, and fitness data analysis.
Open-source Focus: Ideal for adding more workout types, social sharing, and AI refinement.

164. Advanced Beginner: Simple Job Application Tracker

Description: A job application tracker to help users keep track of applications and interviews.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Track application stages (applied, interviewed, offered)
- Add notes for each application
- Organize by job title and company
- Reminders for follow-ups
Learning Path: CRUD operations, local storage, and data filtering.
Open-source Focus: Contributors can add resume uploads, export options, and multi-step interview tracking.

165. Intermediate: Community Forum with User Moderation

Description: A community forum where users can post, comment, and vote, with built-in user moderation.
Tech Stack: Next.js, Node.js, Firebase.
Features:
- Create posts and comments with threading
- Upvote/downvote for popular content
- User moderation with reporting options
- Profile pages and post history
Learning Path: Data handling, user interactions, and moderation.
Open-source Focus: Contributors can add admin tools, post categorization, and private messaging.

166. Expert: AI-Powered Document Summarizer

Description: A tool that summarizes lengthy documents using AI-based natural language processing.
Tech Stack: React, Node.js, MongoDB, TensorFlow.js for NLP.
Features:
- Upload and analyze documents for key points
- Generate concise summaries
- Sentiment analysis for tone
- Save summaries and export to PDF
Learning Path: NLP for text summarization, sentiment analysis, and data storage.
Open-source Focus: Ideal for adding language support, advanced analysis, and document categorization.

167. Beginner: Contact Manager with Import/Export

Description: A contact manager where users can add, organize, and search contacts.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add and edit contact details (name, phone, email)
- Organize contacts by group
- Search and filter contacts
- Import/export to CSV
Learning Path: Data storage, organization, and file handling.
Open-source Focus: Contributors can add multi-contact editing, image support, and birthday reminders.

168. Intermediate: AI-Based Stock Trading Assistant

Description: An AI-powered stock trading assistant that gives real-time trading signals based on market trends.
Tech Stack: React, Node.js, MongoDB, TensorFlow.js for AI.
Features:
- Real-time stock data and trends
- Buy/sell signals based on AI predictions
- Historical price analysis
- Portfolio tracking and management
Learning Path: Stock market APIs, AI for trend analysis, and data visualization.
Open-source Focus: Enables enhancements in AI prediction models, user analytics, and multi-stock tracking.

169. Advanced: Supply Chain Management System with Blockchain

Description: A blockchain-based supply chain system to track products from origin to delivery.
Tech Stack: Solidity, React, IPFS, Ethereum, MetaMask.
Features:
- Track products and transactions on the blockchain
- View product history with timestamps
- Decentralized data storage on IPFS
- Authentication with MetaMask for security
Learning Path: Blockchain for transparency, decentralized storage, and supply chain tracking.
Open-source Focus: Great for adding analytics, logistics tracking, and more data on product origins.

170. Beginner: Workout Logger with Progress Analytics

Description: A workout logging app to help users track exercises and measure progress over time.
Tech Stack: React, Local Storage, Chart.js for analytics.
Features:
- Log exercises and sets/reps
- Visualize progress with charts
- Track goals and milestones
- Weekly and monthly summaries
Learning Path: Data storage, chart integration, and tracking progress.
Open-source Focus: Contributors can add custom exercises, social sharing, and progress comparison tools.

171. Intermediate: Personal Finance Dashboard with Forecasting

Description: A finance dashboard with budgeting, expense tracking, and future expense forecasting.
Tech Stack: React, Firebase, Chart.js, and Machine Learning for predictions.
Features:
- Add income and expenses by category
- Monthly forecasting and spending trends
- Set financial goals and track progress
- Visualize spending breakdowns with charts
Learning Path: Financial tracking, predictive analytics, and data visualization.
Open-source Focus: Ideal for adding forecasting improvements, personalized recommendations, and exporting options.

172. Expert: Decentralized Voting Platform with Audit Logs

Description: A secure, decentralized voting platform that ensures data integrity with blockchain.
Tech Stack: Solidity, React, IPFS for data storage, Web3.js.
Features:
- Voter authentication via MetaMask
- Secure, tamper-proof voting with audit trails
- Real-time vote tallying and result display
- Data storage on IPFS for added security
Learning Path: Blockchain for secure voting, decentralized storage, and audit logs.
Open-source Focus: Enables contributors to add privacy improvements, voting analytics, and internationalization.

173. Beginner: Personal Movie Watchlist

Description: A movie watchlist app where users can track movies they want to watch or have watched.
Tech Stack: React, Local Storage, Movie Database API.
Features:
- Search movies by title or genre
- Add movies to “To Watch” or “Watched” lists
- Rate and review movies
- View trending or popular movies
Learning Path: API integration, data categorization, and local storage.
Open-source Focus: Contributors can add movie recommendations, watch history analytics, and integration with streaming services.

174. Intermediate: AI Resume Analyzer

Description: A resume analyzer that provides suggestions for improvement based on industry standards.
Tech Stack: React, Node.js, MongoDB, TensorFlow.js for NLP.
Features:
- Upload resume and get AI-driven insights
- Keyword analysis for job descriptions
- Tips for optimizing sections
- Custom reports for skill gaps
Learning Path: NLP for resume analysis, text processing, and MongoDB for data storage.
Open-source Focus: Ideal for adding industry-specific keywords, improvement tips, and resume templates.

175. Expert: Blockchain-Based Voting System for Company Polls

Description: A secure voting system for corporate governance, built on blockchain to ensure transparency.
Tech Stack: Solidity, React, Ethereum, MetaMask.
Features:
- Employee verification through wallet
- Voting and result recording on the blockchain
- Role-based access control
- Analytics for voter turnout and results
Learning Path: Blockchain-based governance, security features, and real-time analytics.
Open-source Focus: Contributors can add scalability solutions, data export, and advanced voting protocols.

176. Intermediate: Language Learning App with Speech Recognition

Description: A language learning app that provides exercises and tracks pronunciation using speech recognition.
Tech Stack: React, Firebase, Google Speech Recognition API.
Features:
- Vocabulary practice with translations
- Speech recognition to check pronunciation
- Flashcard exercises with spaced repetition
- Progress tracking and milestones
Learning Path: Speech recognition, spaced repetition, and Firebase data management.
Open-source Focus: Great for adding new languages, advanced speech analysis, and gamified rewards.

177. Expert: AI-Based SEO Content Analysis Tool

Description: A tool to analyze website content and provide SEO improvement suggestions.
Tech Stack: React, Node.js, MongoDB, OpenAI API for NLP.
Features:
- Analyze content for readability and SEO
- Keyword density analysis and improvement tips
- Track SEO performance over time
- Generate keyword suggestions based on topic
Learning Path: NLP for SEO, text analysis, and data handling for web content.
Open-source Focus: Allows contributors to add new SEO metrics, competitor analysis, and content recommendations.

178. Intermediate: Virtual Study Group Platform with Video Chat

Description: A study group platform where users can join rooms, discuss topics, and collaborate via video.
Tech Stack: React, Firebase, WebRTC for video chat, Tailwind CSS.
Features:
- Create or join virtual study rooms
- Real-time chat and video collaboration
- Share notes and resources
- Study session scheduling and reminders
Learning Path: Video streaming with WebRTC,

Firebase for real-time updates, and group collaboration.

Open-source Focus: Great for adding whiteboard tools, resource sharing, and study group analytics.

179. Beginner: Digital Recipe Card Organizer

Description: A recipe organizer where users can create and categorize digital recipe cards.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add recipes with ingredients and instructions
- Categorize by cuisine, meal type, and difficulty
- Search and filter recipes
- Mark favorites for quick access
Learning Path: CRUD functionality, data filtering, and local storage.
Open-source Focus: Contributors can add export options, ingredient tracking, and integration with meal planners.

180. Advanced Beginner: Personal Journal with Photo Entries

Description: A journaling app where users can log entries with optional photos.
Tech Stack: React, Firebase for storage, Tailwind CSS.
Features:
- Write journal entries with rich text
- Attach photos to entries
- Calendar view for entry organization
- Search and filter by tags
Learning Path: Data storage, file handling, and rich text editing.
Open-source Focus: Great for adding sentiment analysis, export features, and photo albums.

181. Expert: Real-Time Forex Trading Platform with Analytics

Description: A forex trading platform with real-time market data and analytical tools for currency trading.
Tech Stack: Next.js, Node.js, MongoDB, Forex API, TensorFlow.js.
Features:
- Real-time forex rates and historical data
- Analytics and AI-driven predictions
- Customizable alerts for currency changes
- Trading simulation with virtual currency
Learning Path: Real-time forex data, AI predictions, and financial analytics.
Open-source Focus: Enables community to add algorithmic trading, charting tools, and sentiment analysis.

182. Intermediate: Family Recipe Sharing App

Description: A platform for families to store and share recipes, preserving family traditions.
Tech Stack: React, Firebase, Tailwind CSS.
Features:
- Share and comment on family recipes
- Organize recipes by family member
- Image uploads and recipe history
- Private and public recipe sharing
Learning Path: Data sharing, image storage, and user authentication.
Open-source Focus: Contributions can include multi-family support, recipe timelines, and family cookbooks.

183. Advanced Beginner: Mood-Based Music Recommendation

Description: A music recommendation app that suggests playlists based on the user’s current mood.
Tech Stack: React, Spotify API, Firebase.
Features:
- Set mood and receive playlist suggestions
- Save favorite playlists for easy access
- View and share top recommendations
- Simple UI with mood-based color themes
Learning Path: API integration, data filtering, and user interaction.
Open-source Focus: Allows contributors to add mood analysis, new music sources, and playlist export options.

184. Intermediate: Team Project Management with Gantt Chart

Description: A project management tool where teams can assign tasks, track progress, and visualize schedules with a Gantt chart.
Tech Stack: React, Firebase, Chart.js.
Features:
- Assign tasks and set deadlines
- View project timelines in Gantt charts
- Progress tracking with completion metrics
- Team notifications for task updates
Learning Path: Project management visualization, Firebase for data persistence, and team collaboration.
Open-source Focus: Contributors can add dependency tracking, real-time notifications, and custom task filtering.

185. Expert: AI-Driven Email Categorization Tool

Description: A tool that categorizes and prioritizes emails using AI for smarter inbox management.
Tech Stack: React, Node.js, MongoDB, TensorFlow.js for NLP.
Features:
- AI-based categorization (e.g., work, personal, spam)
- Priority tagging for important emails
- Email analytics with visual summaries
- Automated response suggestions
Learning Path: NLP for email categorization, data handling, and productivity analytics.
Open-source Focus: Great for adding new tags, advanced sorting, and integrating with popular email services.

186. Beginner: Virtual Flashcard Study Tool

Description: A study tool for creating and reviewing flashcards with progress tracking.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Create and categorize flashcards by subject
- Review flashcards in spaced repetition mode
- Track accuracy and study progress
- Customizable flashcard themes
Learning Path: Local storage for persistence, spaced repetition, and flashcard UI.
Open-source Focus: Contributors can add multi-user support, custom flashcard templates, and theme customization.

187. Intermediate: Blogging Platform with Real-Time Commenting

Description: A blogging platform that allows users to publish posts and interact with real-time comments.
Tech Stack: Next.js, Firebase for real-time data, Tailwind CSS.
Features:
- Post creation and rich text editing
- Real-time comments with notifications
- User profiles with post history
- Popular tags and trending posts
Learning Path: Real-time data, rich text editing, and user interactions.
Open-source Focus: Ideal for adding sharing options, custom tags, and multi-language support.

188. Expert: Smart Contracts for Insurance Claims

Description: A blockchain-based insurance claim platform with smart contracts to automate claims and payouts.
Tech Stack: Solidity, React, Ethereum, Web3.js.
Features:
- Smart contracts for transparent claim validation
- Decentralized payment processing for claims
- Claim history and audit trail
- Wallet integration for secure identity verification
Learning Path: Blockchain for smart contracts, decentralized finance, and secure payments.
Open-source Focus: Supports improvements in risk assessment, claims analytics, and multi-insurance support.

189. Beginner: Goal Setting and Tracking App

Description: A goal-setting app that helps users set, track, and achieve personal goals.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Set and categorize personal goals
- Progress tracking and completion history
- Notifications for milestones
- Simple UI with motivational themes
Learning Path: Data persistence, notifications, and UI design.
Open-source Focus: Contributors can add goal templates, social sharing, and group challenges.

190. Intermediate: Health Data Tracker with Wearable Integration

Description: A health data tracker that syncs with wearable devices to monitor activity, sleep, and vitals.
Tech Stack: React, Firebase, Google Fit API, Chart.js.
Features:
- Sync data from wearable devices
- Weekly and monthly health reports
- Goal setting for steps, sleep, and heart rate
- Visual data representation with charts
Learning Path: API integration with wearables, health data visualization, and Firebase.
Open-source Focus: Ideal for adding more device compatibility, custom goals, and export options.

191. Expert: Multi-Currency E-commerce Platform

Description: An e-commerce platform that supports multiple currencies and real-time conversion rates.
Tech Stack: Next.js, Node.js, MongoDB, Exchange Rate API, Stripe for payments.
Features:
- Product catalog with multi-currency support
- Real-time currency conversion based on user location
- Cart and checkout with Stripe integration
- Transaction history and order tracking
Learning Path: Multi-currency handling, payment integration, and conversion rates.
Open-source Focus: Contributors can add additional payment methods, language support, and product recommendations.

192. Beginner: Minimalist Daily Planner

Description: A simple daily planner for organizing tasks and events.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Add and organize daily tasks
- Set reminders for important tasks
- Color-coded categories for easy organization
- Dark mode for night usage
Learning Path: CRUD operations, local storage, and reminders.
Open-source Focus: Great for adding task prioritization, recurring events, and multiple calendar views.

193. Intermediate: E-learning Platform with Video Courses

Description: An online learning platform where users can enroll in courses and track progress.
Tech Stack: Next.js, Firebase, Tailwind CSS, Video.js for video playback.
Features:
- Course creation and enrollment
- Video playback with progress tracking
- Quizzes and assessments for each module
- Completion certificates and badges
Learning Path: Video streaming, user progress tracking, and course management.
Open-source Focus: Allows for the addition of new courses, quiz templates, and user interaction analytics.

194. Expert: Real Estate Marketplace with Virtual Tours

Description: A real estate marketplace with virtual tours to enhance the home-viewing experience.
Tech Stack: React, Node.js, Firebase, Three.js for 3D tours.
Features:
- Property listings with detailed descriptions
- Interactive virtual tours with 3D views
- Property comparison tool
- Save and share favorite properties
Learning Path: 3D rendering with Three.js, Firebase for data storage, and user interaction.
Open-source Focus: Ideal for adding custom tour features, real estate analytics, and agent profiles.

195. Advanced Beginner: Music Player with Lyrics Display

Description: A music player that displays lyrics in sync with the song.
Tech Stack: React, Spotify API, Lyrics API.
Features:
- Stream music with Spotify integration
- Lyrics display in sync with playback
- Save favorite songs and lyrics
- Customize playback speed and quality
Learning Path: API integration, music streaming, and user interaction.
Open-source Focus: Contributors can add karaoke mode, theme customization, and song recommendations.

196. Intermediate: Smart Home Control Dashboard

Description: A dashboard for controlling smart home devices like lights, thermostat, and security.
Tech Stack: React, Firebase, IoT API, MQTT for device communication.
Features:
- Real-time control of smart devices
- Temperature, light, and security monitoring
- Device scheduling and automation
- User alerts for device status
Learning Path: IoT integration, real-time data handling, and smart device control.
Open-source Focus: Great for adding multi-device compatibility, custom alerts, and energy-saving tips.

197. Expert: Decentralized Content Sharing Platform

Description: A decentralized platform where users can share and monetize content without a centralized authority.
Tech Stack: Solidity, React, Ethereum, IPFS for storage, MetaMask.
Features:
- Decentralized content hosting with IPFS
- Wallet-based tipping for monetization
- User profiles with content history
- Transaction transparency and history
Learning Path: Blockchain for

content hosting, decentralized finance, and wallet integration.

Open-source Focus: Ideal for adding monetization features, content categorization, and creator analytics.

198. Beginner: Countdown to Events

Description: An app that allows users to create countdowns for important events.
Tech Stack: React, Local Storage, Tailwind CSS.
Features:
- Create multiple countdowns for events
- Customizable reminders for each countdown
- Visual themes for different event types
- Track time left in days, hours, and minutes
Learning Path: Timer logic, data persistence, and notifications.
Open-source Focus: Contributors can add recurring countdowns, social sharing, and color-coded events.

199. Intermediate: Fitness Progress Tracker with Photo Comparisons

Description: A fitness tracker where users can log workouts, and upload progress photos.
Tech Stack: React, Firebase, Chart.js for data visualization.
Features:
- Log workouts and goals by date
- Track progress with weight, reps, and sets
- Upload and compare progress photos
- Visual analytics for workout trends
Learning Path: Data storage, photo handling, and progress visualization.
Open-source Focus: Contributors can add workout templates, custom goal setting, and community challenges.

200. Expert: AI-Powered Legal Document Analysis Tool

Description: A tool that scans legal documents and highlights key clauses, risks, and obligations.
Tech Stack: React, Node.js, MongoDB, OpenAI API for NLP.
Features:
- Document scanning with NLP analysis
- Highlight key clauses and risk indicators
- Custom alerts for deadlines and obligations
- Save and organize scanned documents
Learning Path: NLP for legal language, risk analysis, and document handling.
Open-source Focus: Allows for the addition of industry-specific clause detection, contract templates, and collaboration features.

Conclusion

Embarking on these projects will not only build your technical skills but also provide you with a strong portfolio to showcase to potential employers or clients. Take your time with each project, learn from any challenges you encounter, and don’t hesitate to innovate and add your personal touch. Remember, the more you code, the more confident and proficient you'll become. Whether you're building a beginner portfolio or an expert-level SaaS platform, these projects will serve as invaluable stepping stones in your development journey. So, choose a project, start coding, and enjoy the adventure of building amazing things!

🔥 I Built a stunning chat app with React 🚀

Kishan Sheth — Tue, 29 Oct 2024 12:41:15 +0000

Introduction

Developing a real-time chat application involves more than just basic messaging. In this tutorial, we’ll explore how to build a fully responsive chat app from scratch using modern web technologies. This app includes essential features like group chats, file uploads, and real-time communication, making it an excellent project for anyone interested in full-stack development.

Key Features of Our Chat Application

Here’s a breakdown of the key features and technologies that power our chat app:

Frontend (React)

UI Components: ShadCN for intuitive, modular components.
Styling: Tailwind CSS ensures a modern, responsive design.
Responsiveness: Adaptable for both mobile and desktop devices.

Backend (Node.js and Express)

Data Storage: MongoDB, optimized for handling user data and messages.
Authentication: JWT for secure, token-based authentication.
Real-Time Communication: Socket.io for instant messaging functionality.

Additional Features

File Handling: Multer is used to handle file uploads and storage.
State Management: Zustand for managing user sessions and chat states.
API Calls: Axios for efficient API communication.

Building the Frontend

In this section, guide your readers through setting up a React app and installing dependencies like ShadCN, Tailwind CSS, and Zustand.

Setting Up the React App

Begin by initializing a React app and setting up the basic folder structure.
Adding Responsiveness with Tailwind CSS

Explain how to install and configure Tailwind CSS for styling and responsiveness.
Implementing State Management with Zustand

Walk through how Zustand can manage chat states, making the app feel responsive and smooth.
Integrating Sockets for Real-Time Updates

Show how to set up Socket.io on the frontend to enable real-time communication between users.

Backend Implementation

This section covers setting up a Node.js and Express server with MongoDB as the database and Socket.io for real-time messaging.

Setting Up the Express Server

Go over the initial setup, including installing dependencies, configuring routes, and connecting to MongoDB.
Integrating JWT for Authentication

Explain how to use JWT for user authentication, including token creation and validation.
Handling File Uploads with Multer

Demonstrate how to integrate Multer to handle image and file uploads, including setting up file storage and managing uploads.
Enabling Real-Time Messaging with Socket.io

Detail how Socket.io powers instant communication, allowing users to send and receive messages in real time.

Source Code ⭐

Check out the full 10+ Hour Video on my youtube channel.

For more such Full Stack Apps subscribe to my youtube channel.

🔴 Realtime Responsive Chat App with React, Node.js, Socket.io and MongoDB with Group Chats and File Uploads

Kishan Sheth — Thu, 11 Jul 2024 17:20:47 +0000

Features of the Realtime Responsive Chat App

✅ Frontend: Built with React ⚛️

✅ UI Components: ShadCN 🧩

✅ Styling: Tailwind CSS 🎨

✅ Responsiveness: Fully Responsive Design 📱💻

✅ Authentication: JWT Tokens 🔑

✅ File Handling: Multer for File and Image Storage 📁📷

✅ File Download: Easy File Downloading 📥

✅ Real-time Messaging: Sockets for Instant Communication 💬

✅ Chat Support: Group Chats and Personal Messages 👥💬

✅ Fun Conversations: Emoji Support 😄

✅ Backend: Node.js and Express 🛠️

✅ Database: MongoDB for Efficient Data Storage 🗄️

✅ State Management: Zustand for Seamless State Management 🧠

✅ API Calls: Axios for Smooth API Interactions 🌐

✅ Code Quality: Structured and Maintainable Code 📚

Source Code ⭐

Check out the full 10+ Hour Video on my youtube channel.

For more such Full Stack Clones subscribe to my youtube channel.

Next.js 14 Booking App with Live Data Scraping using Scraping Browser

Kishan Sheth — Thu, 22 Feb 2024 10:36:10 +0000

Introduction
Tech Stack
Features
Setting Up the Next.js Application
Installing Required Packages
Setting Up Redis Connection
Configuring BullMQ Queue
Next.js Instrumentation Setup
Setting up Bright Data's Scraping Browser
- What is Bright Data's scraping browser?
- Steps to Set Up Bright Data's Scraping Browser
Implementing the Scraping Logic with Puppeteer
Flight Search Feature
Displaying Flight Search Results
Discover the Complete Guide and Codebase
- Watch the Detailed Explanation on YouTube
- Explore the Full Code on GitHub
Conclusion

Introduction

In the ever-evolving landscape of web development, the ability to efficiently gather, process, and display data from external sources has become increasingly valuable. Whether for market research, competitive analysis, or customer insights, web scraping plays a crucial role in unlocking the vast potential of the internet's data.

This blog post introduces a comprehensive guide to building a robust Next.js application designed for scraping flight data from Kayak, one of the leading travel search engines. By leveraging the power of Next.js alongside modern technologies such as BullMQ, Redis, and Puppeteer.

Tech Stack

Features

🚀 Next.js 14 App Directory with Tailwind CSS - Experience the sleek and modern UI powered by the latest Next.js 14 and styled with Tailwind CSS for that perfect look and feel.
🔗 API Routes & Server Actions - Dive into seamless backend integration with Next.js 14's API routes and server actions ensuring efficient data handling and server-side logic execution.
🕷 Scraping with Puppeteer Redis and BullMQ - Harness the power of Puppeteer for advanced web scraping with Redis and BullMQ managing queues and jobs for robust backend operations.
🔑 JWT Tokens for Authentication and Authorization - Secure your app with JWT tokens providing a reliable method for authentication and authorization across your platform.
💳 Stripe for Payment Gateways - Integrate Stripe for seamless payment processing enabling secure and easy transactions for booking trips flights and hotels.
✈️ Book Trips Flights and Hotels with Stripe Payment Gateway - Make your travel booking experience effortless with our Stripe-powered payment system.
📊 Scrape Live Data from Multiple Websites - Stay ahead with real-time data scraping from multiple sources keeping your app updated with the latest information.
💾 Store the Scraped Data in PostgreSQL with Prisma - Leverage PostgreSQL and Prisma for efficient storage and management of your scraped data ensuring reliability and speed.
🔄 Zustand for State Management - Enjoy smooth and manageable state management in your app with Zustand simplifying state logic and enhancing performance.
😈 Best Feature of the App - Scraping the Unscrapable Data with Bright Data's Scraping Browser.

Bright Data's Scraping Browser provides us with an automatic captcha-solving feature that helps us scrape the un-scrapable data.

Step 1: Setting Up the Next.js Application

Create a Next.js App: Start by creating a new Next.js app if you haven't already. You can do this by running the following command in your terminal:

npx create-next-app@latest booking-app

Navigate to Your App Directory: Change into your newly created app directory:

cd booking-app

Step 2: Installing Required Packages

You'll need to install several packages, including Redis, BullMQ, and Puppeteer Core. Run the following command to install them:

npm install ioredis bullmq puppeteer-core

ioredis is a robust Redis client for Node.js, enabling communication with Redis.
bullmq manages job and message queues with Redis as the backend.
puppeteer-core allows you to control an external browser for scraping purposes.

Step 3: Setting Up Redis Connection

Create a file (e.g., redis.js) in a suitable directory (e.g., lib/) to configure the Redis connection:

// lib/redis.js
import Redis from 'ioredis';

// Use REDIS_URL from environment or fallback to localhost
const REDIS_URL = process.env.REDIS_URL || 'redis://localhost:6379';
const connection = new Redis(REDIS_URL);

export { connection };

Step 4: Configuring BullMQ Queue

Set up the BullMQ queue by creating another file (e.g., queue.js) in the same directory as your Redis configuration:

// lib/queue.js
import { Queue } from 'bullmq';
import { connection } from './redis';

export const importQueue = new Queue('importQueue', {
  connection,
  defaultJobOptions: {
    attempts: 2,
    backoff: {
      type: 'exponential',
      delay: 5000,
    },
  },
});

Step 5: Next.js Instrumentation Setup

Next.js allows instrumentation, which can be enabled in your Next.js configuration. You'll also need to create a worker file for job processing.

1.Enable Instrumentation in Next.js: Add the following to your next.config.js to enable instrumentation:

// next.config.js
module.exports = {
  experimental: {
    instrumentationHook: true,
  },
};

2.Create a Worker for Job Processing: In your application, create a file (instrumentation.js) to handle job processing. This worker will use Puppeteer for scraping tasks:

// instrumentation.js
export const register = async () => {
  if (process.env.NEXT_RUNTIME === 'nodejs') {
    const { Worker } = await import('bullmq');
    const puppeteer = await import('puppeteer-core');
    const { connection } = await import('./lib/redis');
    const { importQueue } = await import('./lib/queue');

    new Worker('importQueue', async (job) => {
      // Job processing logic with Puppeteer goes here
    }, {
      connection,
      concurrency: 10,
      removeOnComplete: { count: 1000 },
      removeOnFail: { count: 5000 },
    });
  }
};

Step 6: Setting up Bright Data's Scraping Browser

Before setting up Bright Data Scraping Browser let's talk about what a scraping browser is.

What is Bright Data's scraping browser?

Bright Data's Scraping Browser is a cutting-edge tool for automated web scraping, designed to seamlessly integrate with Puppeteer, Playwright, and Selenium. It offers a suite of website unblocking features, including proxy rotation, CAPTCHA solving, and more, to enhance scraping efficiency. Ideal for complex web scraping requiring interactions, it allows scalability by hosting unlimited browser sessions on Bright Data’s infrastructure. For more details, visit Bright Data.

Step 1: Navigate to Bright Data's Website

Begin by heading over to Brightdata.com. This is your gateway to accessing the wealth of web scraping resources and tools offered by Bright Data.

Step 2: Create an Account

Once you're on Bright Data's website, sign up to create a new account. You'll be prompted to enter essential information to get your account up and running.

Step 3: Select Your Product

On the product selection page, look for the Proxies & Scraping Infrastructure product. This product is specifically designed to meet your web scraping needs, offering powerful tools and features for data extraction.

Step 4: Add a New Proxy

Within the Proxies & Scraping Infrastructure page, you'll find an "add new button." Click on this to start the process of adding a new scraping browser to your toolkit.

Step 5: Choose the Scraping Browser

A dropdown list will appear, from which you should select the scraping browser option. This tells Bright Data that you intend to set up a new scraping browser environment.

Step 6: Name Your Scraping Browser

Give your new scraping browser a unique name. This helps in identifying and managing it later, especially if you plan to use multiple browsers for different scraping projects.

Step 7: Add the Browser

After naming your browser, click on the "add" button. This action finalizes the creation of your new scraping browser.

Step 8: View Your Scraping Browser Details

Upon adding your scraping browser, you will be directed to a page where you can see all the details of your newly created scraping browser. This information is crucial for integration and use.

Step 9: Access Code and Integration Examples

Look for the "check out code and integration examples" button. Clicking this will provide you with a comprehensive view of how to integrate and use your scraping browser across multiple programming languages and libraries. This resource is invaluable for developers looking to customize their scraping setup.

Step 10: Integrate Your Scraping Browser

Finally, copy the SRS_WS_ENDPOINT variable. This is a critical piece of information that you will need to integrate into your source code, allowing your applications to communicate with the scraping browser you've just set up.

By following these detailed steps, you have successfully created a scraping browser within Bright Data's platform, ready to tackle your web scraping tasks. Remember, Bright Data offers extensive documentation and support to help you maximize your scraping projects' efficiency and effectiveness. Whether you're gathering market intelligence, conducting research, or monitoring competitive landscapes, your newly set up scraping browser is a powerful tool in your data collection arsenal.

Step 7: Implementing the Scraping Logic with Puppeteer

Continuing from where we left off in setting up our Next.js application for scraping flight data, the next critical step is to implement the actual scraping logic. This process involves utilizing Puppeteer to connect to a browser instance, navigate to the target URL (in our case, Kayak), and scrape the necessary flight data. The code snippet provided outlines a sophisticated method for achieving this goal, seamlessly integrating with our previously established BullMQ worker setup. Let's break down the components of this scraping logic and understand how it fits into our application.

Establishing a Connection to the Browser

The first step in our scraping process is to establish a connection to the browser through Puppeteer. This is accomplished by utilizing the puppeteer.connect method, which connects to an existing browser instance using a WebSocket endpoint (SBR_WS_ENDPOINT). This environment variable should be set to the WebSocket URL of the scraping browser service you're using, such as Bright Data:

const browser = await puppeteer.connect({
  browserWSEndpoint: SBR_WS_ENDPOINT,
});

Opening a New Page and Navigating to the Target URL

Once connected, we create a new page in the browser and navigate to the target URL specified in the job data. This URL is the specific Kayak search result page from which we intend to scrape flight data:

const page = await browser.newPage();
await page.goto(job.data.url);

Scraping Flight Data

The core of our logic lies in scraping the flight data from the page. We achieve this by using page.evaluate, a Puppeteer method that allows us to run scripts in the context of the browser. Within this script, we wait for the necessary elements to load and then proceed to collect flight information:

Flight Selector: We target elements with the class .nrc6-wrapper, which contain flight details.
Data Extraction: For each flight element, we extract details such as the airline logo, departure and arrival times, flight duration, airline name, and price. The departure and arrival times are cleaned to remove unnecessary numeric values at the end, ensuring we capture the time accurately.
Price Processing: The price is extracted as an integer after removing all non-numeric characters, ensuring it can be used for numerical operations or comparisons.

The extracted data is structured into an array of flight objects, each containing the details mentioned above:

const scrappedFlights = await page.evaluate(async () => {
  // Data extraction logic
  const flights = [];
  // Process each flight element
  // ...
  return flights;
});

Error Handling and Cleanup

Our scraping logic is wrapped in a try-catch block to handle any potential errors gracefully during the scraping process. Regardless of the outcome, we ensure the browser is closed properly in the finally block, maintaining resource efficiency and preventing potential memory leaks:

try {
  // Scraping logic
} catch (error) {
  console.log({ error });
} finally {
  await browser.close();
  console.log("Browser closed successfully.");
}

The entire code

const SBR_WS_ENDPOINT = process.env.SBR_WS_ENDPOINT;

export const register = async () => {

  if (process.env.NEXT_RUNTIME === "nodejs") {


    const { Worker } = await import("bullmq");
    const puppeteer = await import("puppeteer");
    const { connection } = await import("./lib/redis");
    const { importQueue } = await import("./lib/queue");

    new Worker(
      "importQueue",
      async (job) => {
        const browser = await puppeteer.connect({
          browserWSEndpoint: SBR_WS_ENDPOINT,
        });

        try {
          const page = await browser.newPage();

          console.log("in flight scraping");
          console.log("Connected! Navigating to " + job.data.url);
          await page.goto(job.data.url);
          console.log("Navigated! Scraping page content...");
          const scrappedFlights = await page.evaluate(async () => {
            await new Promise((resolve) => setTimeout(resolve, 5000));

            const flights = [];

            const flightSelectors = document.querySelectorAll(".nrc6-wrapper");

            flightSelectors.forEach((flightElement) => {
              const airlineLogo = flightElement.querySelector("img")?.src || "";
              const [rawDepartureTime, rawArrivalTime] = (
                flightElement.querySelector(".vmXl")?.innerText || ""
              ).split(" – ");

              // Function to extract time and remove numeric values at the end
              const extractTime = (rawTime: string): string => {
                const timeWithoutNumbers = rawTime
                  .replace(/[0-9+\s]+$/, "")
                  .trim();
                return timeWithoutNumbers;
              };

              const departureTime = extractTime(rawDepartureTime);
              const arrivalTime = extractTime(rawArrivalTime);
              const flightDuration = (
                flightElement.querySelector(".xdW8")?.children[0]?.innerText ||
                ""
              ).trim();

              const airlineName = (
                flightElement.querySelector(".VY2U")?.children[1]?.innerText ||
                ""
              ).trim();

              // Extract price
              const price = parseInt(
                (
                  flightElement.querySelector(".f8F1-price-text")?.innerText ||
                  ""
                )
                  .replace(/[^\d]/g, "")
                  .trim(),
                10
              );

              flights.push({
                airlineLogo,
                departureTime,
                arrivalTime,
                flightDuration,
                airlineName,
                price,
              });
            });

            return flights;
          });
        } catch (error) {
          console.log({ error });
        } finally {
          await browser.close();
          console.log("Browser closed successfully.");
        }
      },
      {
        connection,
        concurrency: 10,
        removeOnComplete: { count: 1000 },
        removeOnFail: { count: 5000 },
      }
    );
  }
};

Step 8: Flight Search Feature

Building upon our flight data scraping functionality, let's integrate a comprehensive flight search feature into our Next.js application. This feature will provide users with a dynamic interface to search for flights by specifying the source, destination, and date. Leveraging the powerful Next.js framework alongside a modern UI library and state management, we create an engaging and responsive flight search experience.

Key Components of the Flight Search Feature

Dynamic City Selection: The feature includes an autocomplete functionality for source and destination inputs, powered by a pre-defined list of city-airport codes. As users type, the application filters and displays matching cities, enhancing the user experience by making it easier to find and select airports.
Date Selection: Users can select their intended flight date through a date input, providing flexibility in planning their travel.
Scraping Status Monitoring: After initiating a scraping job, the application monitors the job's status through periodic API calls. This asynchronous checking allows the app to update the UI with the status of the scraping process, ensuring users are informed of the progress and results.

Complete Code for the Flight Search Component

"use client";
import { useAppStore } from "@/store";
import { USER_API_ROUTES } from "@/utils/api-routes";
import { cityAirportCode } from "@/utils/city-airport-codes";
import { Button, Input, Listbox, ListboxItem } from "@nextui-org/react";
import axios from "axios";
import Image from "next/image";
import { useRouter } from "next/navigation";
import React, { useEffect, useRef, useState } from "react";
import { FaCalendarAlt, FaSearch } from "react-icons/fa";

const SearchFlights = () => {
  const router = useRouter();
  const { setScraping, setScrapingType, setScrappedFlights } = useAppStore();
  const [loadingJobId, setLoadingJobId] = useState<number | undefined>(undefined);
  const [source, setSource] = useState("");
  const [sourceOptions, setSourceOptions] = useState<
    { city: string; code: string; }[]
  >([]);
  const [destination, setDestination] = useState("");
  const [destinationOptions, setDestinationOptions] = useState<
    { city: string; code: string; }[]
  >([]);
  const [flightDate, setFlightDate] = useState(() => {
    const today = new Date();
    return today.toISOString().split("T")[0];
  });

  const handleSourceChange = (query: string) => {
    const matchingCities = Object.entries(cityAirportCode)
      .filter(([, city]) => city.toLowerCase().includes(query.toLowerCase()))
      .map(([code, city]) => ({ code, city }))
      .splice(0, 5);

    setSourceOptions(matchingCities);
  };

  const destinationChange = (query: string) => {
    const matchingCities = Object.entries(cityAirportCode)
      .filter(([, city]) => city.toLowerCase().includes(query.toLowerCase()))
      .map(([code, city]) => ({ code, city }))
      .splice(0, 5);

    setDestinationOptions(matchingCities);
  };

  const startScraping = async () => {
    if (source && destination && flightDate) {
      const data = await axios.get(`${USER_API_ROUTES.FLIGHT_SCRAPE}?source=${source}&destination=${destination}&date=${flightDate}`);
      if (data.data.id) {
        setLoadingJobId(data.data.id);
        setScraping(true);
        setScrapingType("flight");
      }
    }
  };

  useEffect(() => {
    if (loadingJobId) {
      const checkIfJobCompleted = async () => {
        try {
          const response = await axios.get(`${USER_API_ROUTES.FLIGHT_SCRAPE_STATUS}?jobId=${loadingJobId}`);
          if (response.data.status) {
            set

ScrappedFlights(response.data.flights);
            clearInterval(jobIntervalRef.current);
            setScraping(false);
            setScrapingType(undefined);
            router.push(`/flights?data=${flightDate}`);
          }
        } catch (error) {
          console.log(error);
        }
      };
      jobIntervalRef.current = setInterval(checkIfJobCompleted, 3000);
    }

    return () => clearInterval(jobIntervalRef.current);
  }, [loadingJobId]);

  return (
    <div className="h-[90vh] flex items-center justify-center">
      <div className="absolute left-0 top-0 h-[100vh] w-[100vw] max-w-[100vw] overflow-hidden overflow-x-hidden">
        <Image src="/flight-search.png" fill alt="Search" />
      </div>
      <div className="absolute h-[50vh] w-[60vw] flex flex-col gap-5">
        {/* UI and functionality for flight search */}
      </div>
    </div>
  );
};

export default SearchFlights;

Step 9: Flight Search Page UI

Displaying Flight Search Results

After successfully scraping flight data, the next crucial step is to present these results to the users in a user-friendly manner. The Flights component in your Next.js application is designed for this purpose.

"use client";

import { useAppStore } from "@/store";
import { USER_API_ROUTES } from "@/utils/api-routes";
import { Button } from "@nextui-org/react";
import axios from "axios";
import Image from "next/image";
import { useRouter, useSearchParams } from "next/navigation";
import React from "react";
import { FaChevronLeft } from "react-icons/fa";
import { MdOutlineFlight } from "react-icons/md";

const Flights = () => {
  const router = useRouter();
  const searchParams = useSearchParams();
  const date = searchParams.get("date");
  const { scrappedFlights, userInfo } = useAppStore();
  const getRandomNumber = () => Math.floor(Math.random() * 41);

  const bookFLight = async (flightId: number) => {};

  return (
    <div className="m-10 px-[20vw] min-h-[80vh]">
      <Button
        className="my-5"
        variant="shadow"
        color="primary"
        size="lg"
        onClick={() => router.push("/search-flights")}
      >
        <FaChevronLeft /> Go Back
      </Button>
      <div className="flex-col flex gap-5">
        {scrappedFlights.length === 0 && (
          <div className="flex items-center justify-center py-5 px-10 mt-10 rounded-lg text-red-500 bg-red-100 font-medium">
            No Flights found.
          </div>
        )}
        {scrappedFlights.map((flight: any) => {
          const seatsLeft = getRandomNumber();
          return (
            <div
              key={flight.id}
              className="grid grid-cols-12 border bg-gray-200 rounded-xl font-medium drop-shadow-md"
            >
              <div className="col-span-9 bg-white rounded-l-xl p-10 flex flex-col gap-5">
                <div className="grid grid-cols-4 gap-4">
                  <div className="flex flex-col gap-3 font-medium">
                    <div>
                      <div className="relative w-20 h-16">
                        <Image src={flight.logo} alt="airline name" fill />
                      </div>
                    </div>
                    <div>{flight.name}</div>
                  </div>
                  <div className="col-span-3 flex justify-between">
                    <div className="flex flex-col gap-2">
                      <div className="text-blue-600">From</div>
                      <div>
                        <span className="text-3xl">
                          <strong>{flight.departureTime}</strong>
                        </span>
                      </div>
                      <div>{flight.from}</div>
                    </div>
                    <div className="flex flex-col items-center justify-center gap-2">
                      <div className="bg-violet-100 w-max p-3 text-4xl text-blue-600 rounded-full">
                        <MdOutlineFlight />
                      </div>
                      <div>
                        <span className="text-lg">
                          <strong>Non-stop</strong>
                        </span>
                      </div>
                      <div>{flight.duration}</div>
                    </div>

                    <div className="flex flex-col gap-2">
                      <div className="text-blue-600">To</div>
                      <div>
                        <span className="text-3xl">
                          <strong>{flight.arrivalTime}</strong>
                        </span>
                      </div>
                      <div>{flight.to}</div>
                    </div>
                  </div>
                </div>
                <div className="flex justify-center gap-10 bg-violet-100 p-3 rounded-lg">
                  <div className="flex">
                    <span>Airplane&nbsp;&nbsp;</span>
                    <span className="text-blue-600 font-semibold">
                      Boeing 787
                    </span>
                  </div>
                  <div className="flex">
                    <span>Travel Class:&nbsp;&nbsp;</span>
                    <span className="text-blue-600 font-semibold">Economy</span>
                  </div>
                </div>
                <div className="flex justify-between font-medium">
                  <div>
                    Refundable <span className="text-blue-600"> $5 ecash</span>
                  </div>
                  <div
                    className={`${
                      seatsLeft > 20 ? "text-green-500" : "text-red-500"
                    }`}
                  >
                    Only {seatsLeft} Seats Left
                  </div>
                  <div className="cursor-pointer">Flight Details</div>
                </div>
              </div>
              <div className="col-span-3 bg-violet-100 rounded-r-xl h-full flex flex-col items-center justify-center gap-5">
                <div>
                  <div>
                    <span className="line-through font-light">
                      ${flight.price + 140}
                    </span>
                  </div>
                  <div className="flex items-center gap-2">
                    <span className="text-5xl font-bold">${flight.price}</span>
                    <span className="text-blue-600">20% OFF</span>
                  </div>
                </div>
                <Button
                  variant="ghost"
                  radius="full"
                  size="lg"
                  color="primary"
                  onClick={() => {
                    if (userInfo) bookFLight(flight.id);
                  }}
                >
                  {userInfo ? "Book Now" : "Login to Book"}
                </Button>
              </div>
            </div>
          );
        })}
      </div>
    </div>
  );
};

export default Flights;

Flight Search Results

Discover the Complete Guide and Codebase

The sections and code snippets shared above represent just a fraction of the full functionality and code necessary to build a robust flight data scraping and search application using Next.js. To grasp the entirety of this project, including advanced features, optimizations, and best practices, I invite you to dive deeper through my comprehensive resources available online.

Watch the Detailed Explanation on YouTube

For a step-by-step video guide that walks you through the development process, coding nuances, and functionality of this application, check out my YouTube video. This tutorial is designed to provide you with a deeper understanding of the concepts, allowing you to follow along at your own pace and gain valuable insights into Next.js application development.

Explore the Full Code on GitHub

If you're eager to explore the code in its entirety, head over to my GitHub repository. There, you'll find the complete codebase, including all the components, utilities, and setup instructions you need to get this application running on your own machine.

koolkishan / nextjs-travel-planner

Arklyte Travel Planner

Travel Planner App with Live Web Scraping from various sources using Bright Data scraping browser.

Project Screenshots:

🧐 Features

Here are some of the project's best features:

🚀 Next.js 14 App Directory with Tailwind CSS - Experience the sleek and modern UI powered by the latest Next.js 14 and styled with Tailwind CSS for that perfect look and feel.
🔗 API Routes & Server Actions - Dive into seamless backend integration with Next.js 14's API routes and server actions ensuring efficient data handling and server-side logic execution.
🕷 Scraping with Puppeteer Redis and BullMQ - Harness the power of Puppeteer for advanced web scraping with Redis and BullMQ managing queues and jobs for robust backend operations.
🔑 JWT Tokens for Authentication and Authorization - Secure your app with JWT tokens providing a reliable method for authentication and authorization across your platform.
💳 Stripe for Payment Gateways -…

View on GitHub

Conclusion

Building a comprehensive application like the flight data scraping and search tool with Next.js showcases the power and versatility of modern web development tools and frameworks. Whether you're a seasoned developer looking to refine your skills or a beginner eager to dive into web development, these resources are tailored to support your journey. Watch the detailed tutorial on YouTube, explore the full code on GitHub, and join the conversation to enhance your development expertise and contribute to the vibrant developer community.

🟣 Compilation of Best Full Stack Clones: Amazon, Airbnb, Fiverr, Whatsapp, Netflix, Spotify, Youtube, Zoom & Candy Crush

Kishan Sheth — Mon, 16 Oct 2023 12:04:04 +0000

I am thrilled to share an incredible web development and innovation journey in this blog post. Over time, I have embarked on a quest to recreate and reimagine some of the most popular web applications, resulting in a diverse collection of full-stack clones that reflect my passion for coding and technology.

From the e-commerce giant Amazon to the real-time messaging platform WhatsApp, each clone is a testament to my dedication to mastering various technologies and showcasing their capabilities. In this post, we'll delve into the features and functionalities of these remarkable clones, offering a glimpse into the world of web development and the endless possibilities it presents.

Most of the codes of these clones are open source. You can check it from my GitHub account.

Source Codes

If you like this blog post and my work, don't forget to subscribe to my YouTube channel. It would help me a lot.

Subscribe ⭐

1. Full Stack Amazon Clone

✅ Built using Next.js

✅ Styled with Tailwind CSS

✅ Backend generated using Amplication

✅ State Management with Zustand

✅ Typescript for type safety

✅ Login Signup using JWT Tokens

✅ API calls using Axios

✅ Recharts for charts

✅ Next UI for excellent prebuilt components

✅ React Pro Sidebar for prebuilt excellent sidebar.

✅ Admin Panel

✅ Table Pagination

✅ Categories CRUD (Create/Read/Update/Delete)

✅ Products CRUD (Create/Read/Update/Delete)

✅ Order Management

✅ Dashboard for Admin

✅ Admin Login

✅ User Login & Signup

✅ User view products

✅ User search products

✅ User adds products to the cart

✅ User place order

✅ And many more features that you can watch from the video below

2. Full Stack Airbnb Clone

✅ Built using Next.js

✅ Styled with Tailwind CSS

✅ Backend generated using Amplication

✅ State Management with Zustand

✅ Realtime Maps using Mapbox API

✅ Login Signup using JWT Tokens

✅ API calls using Axios

✅ Create Listings

✅ View Listings

✅ Book Listings

✅ Delete Listings

✅ Add Listing to Wishlist

✅ Remove Listing from Wishlist

✅ View booked Listings

✅ Search Listings

✅ Search Listings using Map

✅ View Listings Data on Map

3. Full Stack Fiverr Clone

✅ Built with Next.js

✅ Used Prisma For ORM

✅ PostgreSQL for DB

✅ Node.js for backend

✅ Express for Node.js framework

✅ Firebase for Login

✅ Styled using Tailwind CSS

✅ Axios for API Calls

✅ Stripe for Payment Gateway

✅ Typescript for type Safety

✅ Cookies and JWT for Auth Management

✅ Multer for Image Upload

✅ Create Gigs

✅ View Gigs

✅ Search Gigs

✅ Rate Gigs

✅ Order Gigs

✅ Chat with Admin/User

✅ Revenue Analytics

✅ Payment with Stripe

4. Full Stack Whatsapp Clone

✅ Next.js For Frontend

✅ Node.js with Express as Backend

✅ Prisma as ORM with PostgreSQL

✅ Google Login Using Firebase

✅ Socket.io for Messages

✅ Styled using Tailwind CSS

✅ Context for State Management

✅ Wavesurfer for live Audio Waveforms

✅ Login with Google using Firebase: Seamlessly sign in with your Google account via Firebase integration.

✅ Switch between multiple databases using Prisma: Customize your database preferences to suit your needs effortlessly.

✅ Send and Receive Messages using Sockets: Real-time messaging capabilities using Socket.io for instant communication.

✅ Voice Call and Video Call Feature: Enjoy crystal clear voice and video calls within the app.

✅ Voice Notes with Live Audio Waveforms: Send and receive voice notes accompanied by live audio waveforms for an enhanced messaging experience.

✅ Support for Emoji: Express yourself with a wide range of emojis to add fun and emotions to your conversations.

✅ Send Images: Share images with your friends and loved ones effortlessly.

✅ Online/Offline Functionality: Identify your contacts' online and offline status.

✅ Search Messages: Quickly find specific messages using the search functionality.

✅ Capture Photo From Camera: Take instant photos using your device's camera and send them instantly.

✅ Message Read Status: Know when your recipients have read your messages.

✅ Message Time: Stay updated with the time stamps of messages for better organization.

5. Full Stack Netflix Clone

✅ Built with React

✅ Used TMBD API for movie data

✅ React Router DOM for navigation

✅ Axios for API Calls

✅ Redux Toolkit for State Management

✅ Firebase for Login using Google

✅ Backend in Node.js with Express

✅ Mongoose and MongoDB for DB

✅ Styled using Styled Components

6. Spotify Clone with Spotify API

✅ Built with React

✅ Styled with Styled Components

✅ Used Spotify API for Using Real-Time Data

✅ Used Context for State Management

✅ Used Spotify API for player Controls

✅ Play/Pause Track

✅ View Spotify Account Playlist

✅ Play Track from Playlist

✅ Forward/Backward Track

✅ Volume Increase/Decrease

7. YouTube Clone with YouTube Data API

✅ Built using React

✅ Styled with Tailwind CSS

✅ Typescript for Type Safety

✅ Redux Toolkit for State Management

✅ Axios for API calls

✅ React Router for Routing

✅ Infinite Scroll For Infinitely Scrolling of videos

✅ Used YouTube Data API to get the videos

✅ Search Videos

✅ Random Home Page Videos

✅ View the Video Page with all the details

✅ Metadata of videos

8. Zoom Clone

✅ Built with React

✅ Firebase for login using Google

✅ Firestore for storing the data and making the app serverless

✅ React Router for Routing

✅ Typescript for type safety

✅ Redux Toolkit for State Management

✅ Elastic UI for ready-made components

✅ Zegocloud prebuilt UI for Video Meetings

✅ You can schedule different types of meetings and join them

✅ Change Meetings Info

9 Candy Crush in React

✅ Created using React

✅ Used Redux Toolkit for State Management

✅ Styled with Tailwind CSS

✅ Typescript for Type Safety

✅ Fully Functional Candy Crush Game using React

✅ You will learn various best practices

✅ You will learn how to implement complex Logic

✅ Logic for valid and invalid moves developed

✅ Candies with 3 or 4 matches can be poped.

What's Next?

I am working on these Clones next and will create a video before the end of the year.

Full Stack Discord Clone
Full Stack Instagram Clone
Full Stack ChatGPT Clone
Full Stack Twitter Clone

You can check the status of these clones on my Discord Server.

Join Discord 🟣

Conclusion

As the author of this blog post, I'm delighted to share this exciting array of full-stack clones. They stand as a testament to the endless possibilities of web development, showcasing the power of technology and innovation. Whether you're a seasoned developer or just starting your coding journey, I hope these clones inspire you to explore, learn, and create. Stay tuned for more exciting projects on the horizon in the world of full-stack development.

🚀 Supercharge Your Next.js App with Stunning Images! Learn the Ultimate Cloudinary Image Upload Hack 🔥

Kishan Sheth — Sat, 14 Oct 2023 06:36:36 +0000

In today's digital world, where images and videos are pivotal in web applications, optimizing the media delivery process is essential for a seamless user experience. One powerful solution for managing and serving media assets is Cloudinary.

In this blog post, we'll explore how to integrate Cloudinary into your Next.js application using the next-cloudinary package.

What is Cloudinary?

Cloudinary is a cloud-based media management platform that provides an end-to-end solution for storing, managing, optimizing, and delivering media assets such as images, videos, and documents. It offers a robust set of features for transforming and serving media efficiently. Cloudinary also helps developers handle tasks like resizing, cropping, and format conversion without the need for complex server-side code.

Why Use Cloudinary with Next.js?

Integrating Cloudinary with your Next.js application brings several benefits:

Optimized Image and Video Delivery: Cloudinary optimizes media assets for faster loading, improving your website's performance and user experience.
Media Transformation: Cloudinary allows you to dynamically transform images and videos to suit various device screen sizes and resolutions, reducing the need for manual asset preparation.
CDN and Caching: Cloudinary leverages a Content Delivery Network (CDN) to deliver assets quickly and efficiently. It also provides caching options for faster load times.
Secure Storage: Cloudinary provides secure and scalable cloud-based storage, reducing the complexity of managing media files on your servers.
Seamless Integration: With the next-cloudinary package, you can easily integrate Cloudinary into your Next.js project.

Setting Up a Next.js Project

Before we integrate Cloudinary, ensure you have a Next.js project up and running. If not, you can create one using the following steps:

Install Node.js if you haven't already. You can download it
from the official website.
Create a new Next.js project using the following commands:

   npx create-next-app my-next-cloudinary-app
   cd my-next-cloudinary-app

Run the development server with npm run dev. Your Next.js app should now be running at http://localhost:3000.

Integrating Cloudinary with Next.js using `next-cloudinary`

To integrate Cloudinary with your Next.js application, we'll use the next-cloudinary package, which streamlines the process. Follow these steps:

1. Install the `next-cloudinary` Package

In your Next.js project directory, install the next-cloudinary package using npm or yarn:

Copy code
npm install next-cloudinary
# or
yarn add next-cloudinary

2. Set Up a Cloudinary Account

If you haven't already, create a Cloudinary account and obtain your API credentials, including your cloud name and image preset.

3. Get the Cloud name

After logging in to your Cloudinary account, you will see the dashboard.

Grab your cloud name and copy it in the environment variables of next.config.js file in your nextjs app.

const nextConfig = {
  reactStrictMode: false,
  env: {
    NEXT_PUBLIC_CLOUDINARY_CLOUD_NAME: "*******",
  },
};

module.exports = nextConfig;

Make sure that you name the variable as NEXT_PUBLIC_CLOUDINARY_CLOUD_NAME as the next-cloudinary package automatically reads this environment variable.

4. Get an Unsigned Upload Preset

Now, we will need an Upload Preset to upload images.

Click on the settings icon in the left sidebar in your Cloudinary Account.

Now, you will see the Accounts Page. Click on the Upload Tab from the left sidebar to head over to upload settings.

Now, you will see the upload page. On this page, you will see the Upload Presets section. Click Enable unsigned uploading from there to get an unsigned upload preset.

As soon as you click it, you will see an upload preset. Copy that upload preset.

Paste this upload preset as an environment variable in the next.config.js file in your next.js app.

const nextConfig = {
  reactStrictMode: false,
  env: {
    NEXT_PUBLIC_CLOUDINARY_CLOUD_NAME: "********",
    NEXT_PUBLIC_CLOUDINARY_PRESET_NAME:"********"
  },
};
module.exports = nextConfig;

We are going to name the environment variable as NEXT_PUBLIC_CLOUDINARY_PRESET_NAME.

That's it. We have all the things that are required for the setup.

5. Add Cloudinary in the allowed domains

In Next.js applications, when you serve images from a domain that differs from the current domain of your application, you need to specify the external domain in the next.config.js file.

const nextConfig = {
  reactStrictMode: false,
  env: {
    NEXT_PUBLIC_CLOUDINARY_CLOUD_NAME: "********",
    NEXT_PUBLIC_CLOUDINARY_PRESET_NAME:"********"
  },
  images: {
    domains: ["res.cloudinary.com"],
  },
};
module.exports = nextConfig;

Add the res.cloudinary.com in the images section.

6. Use `next-cloudinary` in Your Components

Now, we can use Cloudinary in our components to upload the images.

The next-cloudinary package exposes a component named as CldUploadButton. We are going to use that component for image upload. Here's the code.

"use client";
import { CldUploadButton } from "next-cloudinary";
export default function Photos() {
  return (
    <div>    
      <CldUploadButton
        options={{ multiple: true }}
        uploadPreset={process.env.NEXT_PUBLIC_CLOUDINARY_PRESET_NAME}
      >
        <span>
          Upload
        </span>
      </CldUploadButton>
    </div>
  );
}

Make sure that you have the environment variable in place for uploadPreset.

And that's it. With this, we have completed the setup for Cloudianry to upload the images.

Here's a demo

Conclusion

In this comprehensive guide, we've covered the benefits of integrating Cloudinary with Next.js and provided a step-by-step tutorial on using the next-cloudinary package to easily manage and serve media assets. Following these steps can enhance your web application's performance, optimize media delivery, and provide a superior user experience. Cloudinary is a powerful tool for managing media, and when combined with Next.js, it becomes a dynamic duo for building efficient and visually stunning web applications. Start harnessing the power of Cloudinary in your Next.js project today!

How to deploy Full Stack Amazon Clone with Next.js, Tailwind CSS, Zustand, and Nest.js on Aptible

Kishan Sheth — Tue, 10 Oct 2023 09:50:08 +0000

In this blog post, we'll guide you through deploying an Amazon Clone application on Aptible, showcasing how this platform can simplify and secure the process. We'll cover essential steps, from creating an Aptible account to provisioning a PostgreSQL database, setting up the backend and frontend applications, configuring environment variables, and deploying your applications.

By following this comprehensive guide, developers can gain valuable experience in deploying web applications on Aptible, a secure and scalable cloud infrastructure platform. The provided instructions and code snippets will simplify the deployment process and help you understand how to harness cloud infrastructure effectively.

Features of the Amazon Clone

Built using Next.js
Styled with Tailwind CSS
Backend generated using Amplication
State Management with Zustand
Typescript for type safety
Login Signup using JWT Tokens
API calls using Axios
Recharts for charts
Next UI for amazing prebuilt components
React Pro Sidebar for prebuilt amazing sidebar.
Admin Panel
Table Pagination

Functionalities of the Amazon Clone

Categories CRUD (Create/Read/Update/Delete)
Products CRUD (Create/Read/Update/Delete)
Order Management
Dashboard for Admin
Admin Login
User Login & Signup
User view products
User search products
User adds products to the cart
User place order
And many more features that you can watch from the video below

This blog post is a part of my YouTube video. Check out the amazing video.

Introducing Aptible: Simplify and Secure Your Application Deployment

Before diving into the details of deploying your Amazon Clone application on Aptible, let's take a moment to introduce Aptible and understand why it's an excellent choice for hosting your web applications.

Aptible is a cloud platform designed to simplify and streamline the deployment and management of web applications, particularly for developers and teams who prioritize security and compliance. With Aptible, you can focus on building and scaling your applications while leaving the complexities of infrastructure, security, and compliance to the platform.

One of Aptible's standout features is its commitment to security. It provides robust security controls and compliance certifications, making it an ideal choice for applications that handle sensitive data or need to meet regulatory requirements. Aptible takes care of security updates, data encryption, and access controls, allowing you to focus on your application code.

Now let's get started.

Step 1: Create a new Aptible Account.

Head over to Aptible and click the login button to create a new account and sign up.

After the signup process, you will be redirected to the Aptible Environments page.

Step 2: Choose Environment

Now you will see the environments that you've created on this page.

What are Environments?

Environments live within Stacks and provide logical isolation of resources. Environments on the same Stack share networks and underlying hosts.

Now choose your environment and click on it.

This is your environment screen. From here you can manage your apps, and databases, see your activity, backups, and many more settings.

Step 3: Provision a new PostgreSQL Database

Now we have used the PostgreSQL Database for our Amazon clone so let's provision a new Database on Aptible.

Click on the Database Tab.

Now you will be able to see the Database screen. From here you can manage and provision new databases in your Aptible Environment.

Now click on the New Database button to start creating a new database.

You can see the UI change to Choose a database selection as soon as you click it.

Now we need to select a database. Click on the database selection dropdown. It will show you all the supported databases by Aptible.

Currently, Aptible supports the following Database types:

CouchDB
PostgreSQL
MongoDB
Redis
Elasticsearch
InfluxDB
MySQL
SFTP
RabbitMQ

You can check out their supported database page to know if they have added more databases.

Now from the list of databases select PostgreSQL 14.

As soon as you select it you can see a field as a database handle.

You can name the database of your choice using this field.

We are going to name it amazon-db.

Now click on the Save changes button.

Now Aptible will start provisioning your database. Wait for it to complete.

While the database is being provisioned let's move on to the next step as this will run in the background and will be completed in a few minutes.

Step 4: Setup Amazon Clone backend on Aptible

Now let's deploy our backend app on Aptible.

Head over to the Apps tab and click on New App.

Now you will see the new app creation window.

In this window, you need to provide the name of your app.

We are going to name it amazon-backend.

Now click on the Create App button.

Now Aptible will start creating your app inside the selected environment.

Now you will need to paste your SSH key in this step.

If you want to generate a new SSH key or want to learn how Aptible uses your key, visit Aptible SSH Docs

After pasting your SSH key click on Save key. This will store your SSH key in Aptible, so that the next time you create an app in Aptible, you don't have to repeat the process.

Now we need to push our code to Aptible's git repo.

For this step, we would be required to create a Dockerfile inside the root of our server code.

You need to copy the following snippet inside the Dockerfile

# Development Dockerfile
# This Dockerfile is intended for development use and includes development dependencies and tools.

# Use a Node.js base image with development tools
FROM node:16.0.0 AS development

# Create a directory where the application will be built
WORKDIR /app

# Copy over the dependency manifests, both the package.json
# and the package-lock.json are copied over
COPY package*.json ./

# Install packages and their dependencies
RUN npm install


# Copy over the Prisma schema
COPY prisma/schema.prisma ./prisma/

# Generate the Prisma client based on the schema
RUN npm run prisma:generate

# Copy over the code base
COPY . .

RUN npx prisma db push
# Create the bundle of the application
RUN npm run build

# Expose a specific port on the Docker container for development purposes
ENV PORT=3000
EXPOSE ${PORT}

# Start the development server using the previously built application
CMD ["npm", "start"]

Now open up your terminal and write the following steps:

Step 1: Create a git repo

git init

Step 2: Stage all files

git add .

Step 3: Commit the changes

git commit -m "Initial Commit for backend code.

After you have committed your changes you need to copy the Aptible remote url and add it to your repo.

git remote add aptible git@beta.aptible.com:youtube-a32/amazon-backend.git

After this step, we would need to push the code to the Aptible's scan branch.

Copy the scan command from Aptible and paste it into your terminal.

git push aptible main:aptible-scan

Now this will push our code to Aptible's git repository.

Now in Aptible, it will show you this screen.

From here we can configure our environment variables and DB for the app.

Let's select a DB.

Click on the Connect Existing Database button.

Now select the amazon-db that we created in the previous step and name the environment variable as db_url.

Now click on the Save and Deploy button to start the deployment process.

This will start the deployment process.

This process may take a certain time. Wait for it to complete.

Now our app has been deployed successfully.

Now we need to run the docker command.

Select the cmd and click on the Create Endpoint button.

Now Aptible will start provisioning your endpoint.

Our endpoint was successfully provisioned.

Now let's head over to the endpoint.

And you can see that we have successfully deployed our Node server to Aptible.

Now let's do the same for our Next app.

Step 5: Deploy Amazon Clone Frontend to Aptible

Deploying the frontend is quite simple. We will follow all the previous steps and deploy our app to Aptible.

Now you need to replace the next.config.js file in your next app with the code below.

/** @type {import('next').NextConfig} */
const nextConfig = {
  reactStrictMode: false,
  env: {
    NEXT_PUBLIC_CLOUDINARY_CLOUD_NAME: "dctahvizk",
    NEXT_PUBLIC_API:"app-61711.on-aptible.com"
  },
  images: {
    domains: ["res.cloudinary.com"],
  },
  // typescript: {
  //   ignoreBuildErrors: true,
  // },
};

module.exports = nextConfig;

Here we have added the NEXT_PUBLIC_API environment variable.

Make sure that you replace it with your endpoint.

Now create a new Aptible app and name it amazon-next-app.

Before moving forward let's add the Dockerfile for your next app.

# Use an official Node.js runtime as the base image
FROM node:18

# Set the working directory inside the container
WORKDIR /app

# Copy package.json and package-lock.json (if available)
COPY package*.json ./

# Install dependencies
RUN npm install

# Copy the rest of your app's source code
COPY . .

# Build the production version of the app
RUN npm run build

# Expose the port your Next.js app will run on
EXPOSE 3000

# Start your Next.js app
CMD ["npm", "start"]

Create the Dockerfile at the root level of your app and paste this code.

Now open up your terminal and write the following steps:

Step 1: Create a git repo

git init

Step 2: Stage all files

git add .

Step 3: Commit the changes

git commit -m "Initial Commit for frontend code.

After you have committed your changes you need to copy the Aptible remote url and add it to your repo.

git remote add aptible git@beta.aptible.com:youtube-a32/amazon-next-app.git

After this step, we would need to push the code to the Aptible's scan branch.

Copy the scan command from Aptible and paste it into your terminal.

git push aptible main:aptible-scan

Our code was pushed to Aptible.

Now let's deploy it. Click on the Save & Deploy button.

Our Deployment was successful.

Now let's run the docker cmd and provision an endpoint.

Now our endpoint was successfully provisioned.

Open the endpoint in your browser.

And you can see that our Next app was successfully deployed on Aptible.

Conclusion

In conclusion, this blog post has provided a comprehensive guide on deploying an Amazon Clone application on the Aptible platform. We have covered essential steps such as creating an Aptible account, provisioning a PostgreSQL database, setting up the backend and frontend applications, configuring environment variables, and deploying the applications.

By following this guide, developers can gain valuable experience in deploying web applications on Aptible, a secure and scalable cloud infrastructure platform. The provided instructions and code snippets simplify the deployment process and help developers understand how to leverage cloud infrastructure effectively.

Aptible offers a robust environment for hosting web applications, making it an excellent choice for developers looking to deploy and manage their projects securely. This tutorial equips developers with the knowledge and practical skills needed to take advantage of Aptible's capabilities for deploying web applications.

⚛️ Full Stack Amazon Clone with Next.js, Typescript, Tailwind CSS, Zustand, Next UI, Recharts and Amplication 🚀

Kishan Sheth — Mon, 02 Oct 2023 16:49:54 +0000

In this blog post you'll learn how to create a Full Stack Amazon Clone using Amplication.

Features of the Amazon Clone

Built using Next.js
Styled with Tailwind CSS
Backend generated using Amplication
State Management with Zustand
Typescript for type safety
Login Signup using JWT Tokens
API Call's using Axios
Recharts for charts
Next UI for amazing prebuilt components
React Pro Sidebar for prebuilt amazing sidebar.
Admin Panel
Table Pagination

Functionalites of the Amazon Clone

Categories CRUD (Create/Read/Update/Delete)
Products CRUD (Create/Read/Update/Delete)
Order Management
Dashbord for Admin
Admin Login
User Login & Signup
User view products
User search products
User add products to cart
User place order
And many more features that you can watch it from the video below

This blog post is a part of my Youtube video. Check out the amazing video.

Unleashing Amplication's Potential: Streamlining Software Development Efforts

Amplication, is a powerful open-source backend development tool engineered to streamline and accelerate web application creation. It offers a user-friendly interface and a comprehensive feature set, making it a valuable resource for developers and organizations aiming to swiftly develop robust, scalable applications while conserving time and resources.

At its core, Amplication revolves around the concept of a low-code backend development environment. This innovative approach allows developers to construct applications by configuring and connecting pre-built building blocks, eliminating the need for extensive manual coding. Consequently, development teams can direct their efforts towards crafting business logic and delivering a polished final product with greater efficiency.

⭐ Give Amplication a Star! ⭐

Step 1: Create new github repository

Amplication connects to our github repo and pushes the code to a branch and creates a pull request.

Step 2: Head over to amplication and click on Start Now button.

Step 3: Continue with Github Account

In this step click on the continue with Github to start the connecting amplication with your Github account.

Step 4: Create your first service

Now you need to create a service for amplication which in turn generate your backend code. Give it a meaningful name.

We are going to name it amazon-backend and hit continue.

Step 5: Connect with Github and Select Repository

Now you need to connect with Git. There are various options available but we are going to use Github for our git provider.

After you connect with github you need to select a repository. Select the amazon-clone repo.

The repo would be selected now.

Now hit continue.

Step 6: Selecting GraphQL / RestAPI & Swagger UI / Admin UI

In this step you can enable the options for support of the GraphQL API, the REST API & Swagger UI and the Admin UI provided by Amplication.

We are going to enable all the options here. Though we will not be using the GraphQL API for the app but for the demo purposes we are enabling it.

We are going to use the REST API's through out the Amazon clone. Also we will be using Swagger to test out the API's.

Step 7: Selecting the type of backend structure generated by Amplication.

Amplication provides two types of structure for the generated code.

Polyrepo
If you are using a polyrepo, Amplication will push the code to the root of the repo in separate folders for the server and the admin-ui.
Monorepo
If you are using a monorepo, you can select the folder where you want to save the code of the service. “apps”, “packages”, “ee/packages” all are valid.

We are going to use the Polyrepo option for this project.

Step 8: Select the database.

Amplication provides three types of database at the moment.

PostgreSQL
MongoDB
MySQL

Amplication generates the service with all the required configuration and code to start working with a DB.

You can easily change the type of the DB later in the plugins page

For this Amazon Clone we are going to use the PostrgreSQL DB.

Now hit continue.

Step 9: Selecting a Templates for your Project

Amplication provides two options for your entities.

Empty
Manually define your own entities and fields
Use a Template
Pre-defined set of entities and fields Address, Orders, User

You can start from scratch or select a demo template.

We are going to select the empty option here.

Hit continue.

Step 10: Selecting Auth Services

Amplication provides in built auth module that pre generates code for you authorization and authentication.

For this Amplication provides two options

Include Auth Module
Generate the code needed for authentication and authorization
Skip Authentication
Do not include code for authentication

For our Amazon clone we are going to use the auth module provided by Amplication so we are going to select Include Auth Module Option.

Now hit continue

All the initial setup is done and now Amplication will generate the code. Wait for it to generate. This may take a minute or two.

You will see the success page.

You have successfully setup your Amplication app.

Now click on create entities option to create entities.

Entities are like table in DB.

Now there is a predefined entity here which is for users in your application.

Setting up Amplication Entities

We will be using four entities in our Amazon Clone

user: Manages all users with their details.
products: This will store all products created by admin.
category: This will store all the categories of the products.
reviews: After the user buys a product they can add reviews for the product. This entity will store the reviews of the products.
orders: This will store the orders of the products.

Setup Users

The user entity is already created. Click on it to view the fields of user.

`isAdmin` field

Now we want to add a new field here name as isAdmin.

Click on the add field on the left sidebar.

Now here type the name of entity and press the plus icon beside it which will create the entity.

After you click on it the field would be created and you can configure it from the right side field settings.

This field will let us know if the current logged in user is a admin. It's datatype is boolean.

Now click back the setup for the user entity is complete.

Products entity

This entity will store all products with their details

Now let's create a new entity for products.

Click on the Add Entity button.

This will open up a modal. Type the name of the entity as products and press create entity.

This will create the new entity. Now let's add all the required fields.

`title` field

Write title as the name and click on + right beside it.

You can see that the the new field is created and there are various options to configure.

We are going to mark this field as required.

Also we will select the Data Type as Single Line Text from the dropdown.

Amplication provides various Data Type according to your needs an takes care of the constraints on your code as needed according to the data type.

Now amplication auto saves everything after each change so your selections are already selected

`description` field

Do the same process for description, but for the datatype we will change to Json because we will have multiple descriptions for the product.

`salePrice` field

This will store the orignal price of the product. The datatype of this field will be Decimal Number

`discountPrice` field

This will store the discounted price of the product. We will have the datatype of this field as Decimal Number.

`colors` field

This will store the colors of the products. We will be able to store multiple colors so we will be using the Json datatype for this field.

`variants` field

This field will store all the different variants of the product. For example the size of a clothes, storage of digital devices, etc. We will be able to store multiple values for variants so we will use the Json datatype for this field as well.

`images` field

We will upload the images to Cloudinary. Cloudinary will return us the URL's of the uploaded images. We will have an array of images; we will be using the Json datatype for the images field as well.

If you want to learn how to upload images to Cloudinary using Next.js check out my detailed blog post here.

That's all for the products entity.

Category entity

This entity will store the category of all the products.

`name` field

This field will store the name of the category. Datatype for this field will be Single Line Text.

`products` field

This field will store all the products associated with the category.

We will name this field as products.

This field's datatype will be Relation to Entity.

In the related entity dropdown select products.

And for relation selct One 'category' can be related to many 'products' option.

This means that one category can have more than one products.

That's all for the category entity.

Reviews entity

This will store the reviews of the products.

`rating` field

This field will store the number of rating the review has.

The datatype for the rating field would be Whole Number.

`description` field

This field will store the text of the review.

The datatype of the description field will be Multi Line Text.

`products` field

This field will store all the products associated with the review.

We will name this field as products.

This field's datatype will be Relation to Entity.

In the related entity dropdown select products.

And for relation selct One 'reviews' can be related to one 'products' option.

This means that one product can have more than one reviews.

`user` field

This field will store the user associated with the review.

Let's name this field as user.

This field's datatype will be Relation to Entity.

In the related entity dropdown select users.

And for relation selct One 'reviews' can be related to one 'user' option.

This means that one review can only have one user associated with it.

That's all for the reviews entity.

orders entity

This will store all orders that has been created by the user.

`user` field

This field will store the user associated with theorder.

Let's name this field as user.

This field's datatype will be Relation to Entity.

In the related entity dropdown select users.

And for relation selct One 'orders' can be related to one 'user' option.

This means that one order can only have one user associated with it.

`products` field

This field will store all the products associated with the order.

We will name this field as products.

This field's datatype will be Relation to Entity.

In the related entity dropdown select products.

And for relation selct One 'order' can be related to many 'products' option.

This means that one product can have more than one reviews.

`price` field

This field will store the total amount of all the products in the order.

The datatype for the price field would be Decimal Number.

`status` field

This field will store the status of the order.

The datatype for this field would be Json.

`paymentIntent` field

This field will store the payment data by payment gateway.

The datatype for this field would be Single Line Text.

`paymentStatus` field

This field will let us know the status of the payment.

The datatype for this field would be Boolean.

That's all for the orders entity.

Now we have created all the entities that is required and we can build our app and push the code over to github.

Build and publish the code to Github

You can see that we have some pending changes in the right sidebar. We need to push these changes to github to integrate it with our app.

Click on the Commit Changes & build button.

With this Amplication will start building your code.

As soon as the build would be successfull the code would be pushed over to the Github.

Now head over to your github repository.

Now click on the Pull requests

Click on the pending pull request that is generated by the Amplication bot.

Now you will see the request page. You can either check the code or merge the pull request to merge it with the main source code.

Now we have successfully generated the backend code with Amplication.

Setup Local App

Now we need to setup the app on our local machine.

For that clone the repository or pull your source code from git.

Now to setup the app we need to install the dependencies.

Let's create a package.json file int the root of your app and paste the following code in it.

{
  "name": "amazon-clone",
  "version": "1.0.0",
  "description": "",
  "main": "index.js",
  "scripts": {
    "start:admin": "npm --prefix admin-ui start",
    "start:backend": "npm --prefix server start",
    "postinstall": "npm i --prefix admin-ui && npm i --prefix server"
  },
  "devDependencies": {
    "cross-env": "^7.0.3",
    "npm-run-all": "^4.1.5"
  },
  "repository": {
    "type": "git",
    "url": "git+https://github.com/koolkishan/nextjs-amazon-clone.git"
  },
  "author": "",
  "license": "ISC",
  "bugs": {
    "url": "https://github.com/koolkishan/nextjs-amazon-clone/issues"
  },
  "homepage": "https://github.com/koolkishan/nextjs-amazon-clone#readme",
  "dependencies": {
    "qs": "^6.11.2"
  }
}

Now you need to run npm install.

This will install the root dependencies.

After this you need to run the npm run postinstall script to install the frontend, backend and the admin-ui dependencies.

After the process is completed your app is successfully setup with the backend code generated with Amplication.

Now for starting the app you can run npm run start.

Amplication REST API's with Swagger

If you want to check the API's generated by Amplication, head over to http://localhost:3000/api.

This will open the Swagger UI with all the API's. You can test out API's here.

Amplication Discord Server

If you're stuck anywhere in the process or have any issues regarding amplication or just want to particapte in thier monthly giveaways join their discord server.

🟣 Join Amplication Discord 🟣

Conclusion

This blog post has provided a comprehensive guide on how to create a Full Stack Amazon Clone using Amplication, a powerful open-source backend development tool. The Amazon Clone features a range of functionalities and technologies, including Next.js, Tailwind CSS, Zustand for state management, TypeScript for type safety, JWT token-based authentication, Axios for API calls, Recharts for charts, Next UI for prebuilt components, and React Pro Sidebar for a sidebar. It also includes an Admin Panel and Table Pagination.

Amplication's potential in streamlining software development efforts has been highlighted. It offers a low-code backend development environment that allows developers to build applications by configuring and connecting pre-built building blocks, saving time and resources.

The step-by-step guide covers setting up a GitHub repository, connecting Amplication with GitHub, creating a service, selecting the database, and defining entities for the Amazon Clone. It explains how to configure various fields for entities like users, products, categories, reviews, and orders.

The blog also outlines the process of building and publishing the code to GitHub and setting up the local app for development. It provides a package.json file for dependency management and offers instructions for starting the app.

Finally, the blog mentions how you can explore and test the REST APIs generated by Amplication using Swagger UI.

Overall, this comprehensive guide empowers developers to create a feature-rich Amazon Clone efficiently using Amplication, demonstrating the tool's capabilities in simplifying backend development for web applications.

Netflix System Design Using AWS Services

Kishan Sheth — Wed, 23 Aug 2023 06:48:31 +0000

In the digital age of streaming, Netflix has revolutionized how we consume content. Behind its user-friendly interface lies a complex system designed to seamlessly onboard new content and deliver it to millions of users across various devices. In this article, we will take an in-depth look at the intricate processes that power Netflix's content management and delivery, while exploring the AWS concepts that underpin its architecture.

Watch my youtube video for in depth explanation of Netflix System Design

Eraser.io: Redefining Diagramming Simplicity

In the world of visual communication and system design, clarity is key. Introducing Eraser.io, a cutting-edge platform that simplifies diagramming and empowers users to convey complex ideas with remarkable ease. By leveraging the innovative tools provided by Eraser.io, intricate concepts can be effortlessly transformed into clear and concise diagrams. Whether you're mapping out system architectures, illustrating workflows, or creating visual aids for presentations, Eraser.io offers a seamless experience that streamlines the process of translating intricate thoughts into striking visuals. Let's delve into the features and benefits that set Eraser.io apart, enhancing the way we visualize and share ideas. To explore this transformative platform further, visit their website at eraser.io.

I have used eraser for diagram illustrations for the blog post. You can check out the entire diagram on eraser's canvas from the link below.

Netflix System Design

Part 1: How Netflix Onboards New Content

Step 1: Uploading and Storing Metadata

The journey begins when Netflix administrators upload new content along with metadata like tags, titles, and descriptions. This metadata is essential for organizing and categorizing content, enabling efficient search functionality. Netflix stores this metadata in Elasticsearch/OpenSearch databases, which provide lightning-fast search capabilities.

Step 2: Video Upload and Processing

Once uploaded, the video content resides in an Amazon S3 bucket. To ensure optimal user experiences across devices, the video undergoes a conversion process. AWS Elemental MediaConvert steps in here, converting the video into various formats and resolutions tailored to different devices and network conditions. This adaptive streaming approach guarantees a smooth playback experience.

Step 3: Content Analysis using AI

As part of quality control, Netflix employs AWS Rekognition, an AI service, to analyze uploaded videos for sensitive content like explicit material. This automated content analysis helps maintain the platform's integrity and safety.

Step 4: Parallel Processing with Step Functions

Netflix ensures efficiency by employing AWS Step Functions for parallel processing. This orchestrates multiple tasks, like content conversion and AI analysis, simultaneously. The parallel execution reduces processing time and enhances overall system performance.

Step 5: Storage for Frequent and Infrequent Access

Following processing, the content moves to a frequently accessed Amazon S3 bucket. However, to manage costs effectively, content not frequently viewed is transferred to an infrequent access S3 bucket. This hierarchical storage approach optimizes resource utilization.

Step 6: Cold Storage in Glacier

For content with minimal viewership, Netflix employs Amazon S3 Glacier, a cost-effective cold storage solution. This tiered storage model ensures that content is stored in the most cost-efficient manner based on its popularity.

Step 7: Content Delivery through CDN

Netflix's content delivery network (CDN), known as Open Connect, plays a crucial role in delivering content seamlessly. The CDN caches frequently requested content, reducing latency and ensuring rapid content access.

Step 8: Analytics with ELK Stack

To gain insights into user behavior and system performance, Netflix uses the ELK stack, comprising Elasticsearch, Logstash, and Kibana. Elasticsearch indexes and stores logs, Logstash processes and pipelines data, and Kibana offers visualization tools. This powerful combination enables data-driven decisions and system improvements.

Part 2: How Netflix Serves Content to Users

Step 1: User Access via Devices

Netflix's versatility lies in its compatibility with various devices—smartphones, televisions, laptops, and gaming consoles. This multi-device access requires a responsive and uniform user experience.

Step 2: Frontend and CDN Interaction

Upon accessing Netflix, users interact with the frontend website developed using React.js. This dynamic JavaScript library ensures an engaging user interface. The CDN connects users to this frontend, delivering a seamless experience.

Step 3: Seamless Search Experience

When users search for content, the website communicates with the CDN, which interacts with Netflix's backend through API gateways and microservices. A lambda function is triggered, querying the database for relevant video metadata based on the search query.

Step 4: Video Delivery via CDN

The CDN retrieves the video's metadata from the database and simultaneously connects to another S3 bucket storing the actual video content. Both metadata and video are cached within the CDN, optimizing subsequent access requests.

Step 5: Enabling Smooth Playback

Thanks to cached content within the CDN, users can access frequently requested content with minimal latency. This caching mechanism ensures smooth playback, regardless of the user's location.

Conclusion

Netflix's content onboarding and delivery system is a technological marvel. By leveraging AWS services like Elemental MediaConvert, Rekognition, and Step Functions, Netflix optimizes content processing while maintaining quality and security. The tiered storage strategy, combined with the Open Connect CDN and ELK stack analytics, ensures a cost-effective, low-latency, and highly available streaming experience. As users continue to access Netflix across diverse devices, the platform's commitment to seamless content delivery remains unwavering.

Full Stack Airbnb Clone with Next.js, Tailwind CSS, Zustand and Amplication

Kishan Sheth — Mon, 14 Aug 2023 10:33:47 +0000

In this blog post you'll learn how to create a Full Stack Airbnb Clone using Amplication.

Features of the AirBnb Clone

Built using Next.js
Styled with Tailwind CSS
Backend generated using Amplication
State Management with Zustand
Realtime Maps using Mapbox API
Login Signup using JWT Tokens
API Call's using Axios

Functionalites of the AirBnb Clone

Create Listings
View Listings
Book Listings
Delete Listings
Add Listing to Wishlist
Remove Listing from Wishlist
View booked Listings
Search Listings
Search Listings using Map
View Listings Data on Map

This blog post is a part of my Youtube video. Check out the amazing video.

Unleashing the Power of Amplication: Accelerating Software Development with Ease

Amplication is an open-source development tool designed to simplify and expedite the process of building web applications. With its user-friendly interface and a wealth of features, Amplication empowers both developers and organizations to create robust and scalable applications quickly, saving valuable time and resources in the process.

The platform is centered around the concept of a low-code development environment, which allows developers to build applications by configuring and connecting pre-built building blocks rather than writing code from scratch. This approach dramatically reduces the amount of manual coding required, enabling teams to focus on creating business logic and delivering a polished end product.

Step 1: Fork the starter git repository:

Clone this git repository to get starter files for the Airbnb Clone.

Step 2: Create a amplication account

Head over to amplication login and connect your github.

Step 3: Create your first service

Now you need to create a service for amplication which in turn generate your backend code. Give it a meaningful name.

We are going to name it AirBnb and hit continue.

Step 4: Connect with Github and Select Repository

Now you need to connect with Git. There are various options available but we are going to use Github for our git provider.

After you connect with github you need to select a repository. Select the airbnb repo.

Now hit continue.

Step 5: Selecting GraphQL / RestAPI & Swagger UI / Admin UI

In this step you can enable the options for support of the GraphQL API, the REST API & Swagger UI and the Admin UI provided by Amplication.

We are going to enable all the options here. Though we will not be using the GraphQL API for the app but for the demo purposes we are enabling it.

We are going to use the REST API's through out the AirBnb clone. Also we will be using Swagger to test out the API's.

Step 6: Selecting the type of backend structure generated by Amplication.

Amplication provides two types of structure for the generated code.

Polyrepo
If you are using a polyrepo, Amplication will push the code to the root of the repo in separate folders for the server and the admin-ui.
Monorepo
If you are using a monorepo, you can select the folder where you want to save the code of the service. “apps”, “packages”, “ee/packages” all are valid.

We are going to use the Polyrepo option for this project.

It will generate two folders into the root of our repository, named as server and admin-ui

Now hit continue.

Step 7: Select the database.

Amplication provides three types of database at the moment.

PostgreSQL
MongoDB
MySQL

Amplication generates the service with all the required configuration and code to start working with a DB.

You can easily change the type of the DB later in the plugins page

For this AirBnb Clone we are going to use the PostrgreSQL DB.

Now hit continue.

Step 8: Selecting a Templates for your Project

Amplication provides two options for your entities.

Empty
Manually define your own entities and fields
Use a Template
Pre-defined set of entities and fields Address, Orders, User

You can start from scratch or select a demo template.

We are going to select the empty option here.

Hit continue.

Step 9: Selecting Auth Services

Amplication provides in built auth module that pre generates code for you authorization and authentication.

For this Amplication provides two options

Include Auth Module
Generate the code needed for authentication and authorization
Skip Authentication
Do not include code for authentication

For our AirBnb clone we are going to use the auth module provided by Amplication so we are going to select Include Auth Module Option.

Now hit continue

All the initial setup is done and now Amplication will generate the code. Wait for it to generate. This may take a minute or two.

After the code is generated you can see the following screen that the code has been generated.

Now you select view my code button and it will redirect you to the Github Page

Step 10: Merge the pull request generated by amplication

Now after every change in Amplication service it will generate a new pull request that needs to be merged in Github with our code.

Now on the Github Pull Request page you have to merge the code with Merge pull Request button.

You can also check the code generated by Amplication by clicking the Files Changed Option

This will show you all the code generated by Amplication.

Now head over to the amplication tab and hit continue.

You will see the success page.

You have successfully setup your Amplication app.

Now click on create entities option to create entities.

Entities are like table in DB.

Now there is a predefined entity here which is for users in your application.

Setting up Amplication Entities

We will be using four entities in our AirBnb Clone

user: Manages all users with their details.
listings: This will store all entities created by a user.
trips: If a user books a listing then it would be stored in this entity.
wishlists: If a user add a listing into their wihshlists then this would be stored in the Wishlists entity.

Setup Listings

Now click on Add Entity button on Top Right Corner

On the new Entity Modal screen type listings as the name of new entity and hit create entity.

Now you will be redirected to the listings entity details page.

From here you can add new fields to your entity or even give granular permissions to the entity according to the roles.

Now from here we need to create some fields that we are going to use for our AirBnb Clone.

title Field

Click on the add field button

Write title as the name and click on + right beside it.

You can see that the the new field is created and there are various options to configure.

We are going to mark this field as required.

Also we will select the Data Type as Single Line Text from the dropdown.

Amplication provides various Data Type according to your needs an takes care of the constraints on your code as needed according to the data type.

Now amplication auto saves everything after each change so your selections are already selected

description Field

Do the same process for description, but for the datatype we will change to Multi Line Text.

locationType Field

This field will store the type of location of the listing, whethere it is a house, flat, bunglow, etc.

Do the same process as we followed for the title field.

placeType Field

This field will store the details like if there is a full room to this place, is this place shared, etc.

Do the same process as we followed for the title field.

price Field

This field will store the price of the listing.

For the datatype we will use the Whole Number type.

The minimum and maximum value would be set by default. We do not need to change it.

mapData Field

This field will store the maps cordinates for the Mapbox to load the specific location with the accurate marker.

For this field we will select the datatype as the Json type, because we will have json data inside of it.

locationData Field

This field will store the location Data like the pincode, address, city, etc.

This will be a Json data type.

placeSpace Field

This will store the total rooms and total guests the place can have.

This will be a Json data type.

photos Field

This will store the links of the photos for the listings.

This will be a Json data type.

listingCreatedBy field

This field will store the data of the user that created this listing.

This would be relation to the User entiity.

Select the data type as Relation to entiity.

In the Relation Entity Dropdown Select the User Entity.

And select the One 'listings' can be related to one 'listingCreatedBy' option.

This means that one user can create many listings.

That's it. With this we have created our listings Entity.

Setup Wishlists

This entity will store the wishlists of the user.

user field

This will store which user has added the listing.

The data type will be Relation to Entity with the user, with the One 'wishlists' can be related to one 'user' option toggled.

listing Field

This will store which listing has added by the user.

The data type will be Relation to Entity with the user, with the One 'wishlists' can be related to one 'listing' option toggled.

That's it for the wishlists entity.

Setup Trips

This will store the trips that has been booked by the user.

We will follow the same procedure for the trips as we did for the wishlists with the same field names and same relations.

And that's all for the Trips entity.

Now we have created all the entities that is required and we can build our app and push the code over to github.

Build and publish the code to Github

You can see that we have some pending changes in the right sidebar. We need to push these changes to github to integrate it with our app.

Click on the Commit Changes & build button.

With this Amplication will start building your code.

As soon as the build would be successfull the code would be pushed over to the Github.

Now head over to your github repository.

Now click on the Pull requests

Click on the pending pull request that is generated by the Amplication bot.

Now you will see the request page. You can either check the code or merge the pull request to merge it with the main source code.

Now we have successfully generated the backend code with Amplication.

Setup Local App

Now we need to setup the app on our local machine.

For that clone the repository or pull your source code from git.

Now to setup the app we need to install the dependencies.

For this there's already a pacakge.json file created in the root of the directory.

You need to run npm install.

This will install the root dependencies.

After this you need to run the npm run postinstall script to install the frontend, backend and the admin-ui dependencies.

After the process is completed your app is successfully setup with the backend code generated with Amplication.

Now for starting the app you can run npm run start.

Amplication REST API's with Swagger

If you want to check the API's generated by Amplication, head over to http://localhost:3000/api.

This will open the Swagger UI with all the API's. You can test out API's here.

But wait there's something more,

Amplication introduces a groundbreaking feature: Upload Prisma Schema.

If you find yourself in the midst of the development phase and wish to seamlessly transition to Amplication's services, this powerful tool will be a game-changer.

Imagine having the ability to effortlessly import your Prisma schema into Amplication, enabling the automatic generation of entities and relationships required for your application. This simplifies the migration process, saving you time and effort while ensuring a smooth transition to Amplication's services.

With Amplication's Upload Prisma Schema feature, you can take your development project to the next level, leveraging the platform's robust capabilities to accelerate your app's progress. The integration of your existing Prisma schema will pave the way for a more efficient and productive development experience.

Here's what the process looks like,

This feature is still in beta mode and would be available to end users shortly.

Conclusion

This blog post has taken you through the process of creating a Full Stack Airbnb Clone using Amplication, a powerful open-source development tool. With Amplication's low-code development environment, developers can build web applications by configuring and connecting pre-built building blocks, reducing the amount of manual coding required. The post covered the various features and functionalities of the Airbnb Clone, including real-time maps, JWT-based authentication, API calls using Axios, and more.

The step-by-step guide walked you through setting up the project using Amplication, creating entities for listings, wishlists, and trips, and how to push the code to GitHub for integration. Additionally, it demonstrated how to test the REST APIs generated by Amplication using Swagger UI.

By leveraging Amplication's capabilities, developers and organizations can accelerate software development, saving valuable time and resources, and deliver robust and scalable applications. Whether you're a seasoned developer or just starting, Amplication provides a user-friendly platform for building impressive web applications with ease. So, go ahead and unleash the power of Amplication in your next development project! Happy coding!

This tutorial was a part of my Youtube video. Check out the entire video.

Optimizing SEO in Next.js: Advanced Techniques for Better Search Engine Visibility

Kishan Sheth — Fri, 30 Jun 2023 08:46:25 +0000

In today's digital landscape, search engine optimization (SEO) plays a crucial role in driving organic traffic to websites. Next.js, a powerful React framework, provides developers with a solid foundation for building performant and SEO-friendly web applications. In this blog post, we will explore advanced techniques for optimizing SEO in Next.js to enhance search engine visibility and attract more organic traffic.

Understanding SEO Basics
Next.js and SEO: A Winning Combination
Key SEO Factors to Consider in Next.js
1. Meta Tags and Title Optimization
2. Structured Data Markup
3. URL Structure and Canonical URLs
4. Sitemap Generation
5. Responsive and Mobile-Friendly Design
Advanced SEO Techniques in Next.js
1. Dynamic Meta Tags and Titles
2. Server-Side Rendering (SSR) for SEO
3. Implementing Open Graph and Twitter Cards
4. Handling Pagination for SEO
5. Optimizing Images for Search Engines
Monitoring and Analyzing SEO Performance
1. Integrating Google Analytics
2. Utilizing Search Console for Insights
3. Monitoring SERP Rankings and Click-Through Rates (CTR)
Technical SEO Considerations for Next.js
1. Properly Handling Redirects
2. Managing Duplicate Content and Canonicalization
3. Implementing Pagination and Rel="next/prev"
4. Managing 404 Errors and Custom Error Pages
Performance Optimization and SEO
1. Fast Page Load Times
2. Lazy Loading and Code Splitting
3. Optimizing HTML and CSS
Staying Up-to-Date with SEO Best Practices
1. Keeping Up with Algorithm Updates
2. Engaging in Link Building and Content Marketing
3. Enhancing User Experience (UX) Signals

Introducing Zegocloud

ZEGOCLOUD is a cloud-based video call platform that provides developers with a set of APIs and SDKs to easily build video calling applications.

Read my awesome article about how to create a Video Call App using Zegocloud in less than 10 Minutes

Understanding SEO Basics:

Before diving into Next.js-specific techniques, let's quickly review some essential SEO principles. Meta tags, structured data markup, URL structure, and sitemaps are crucial factors for search engines to understand and rank your web pages.

Next.js and SEO: A Winning Combination:

Next.js is an excellent choice for building SEO-friendly applications due to its server-side rendering (SSR) capabilities, which provide search engines with fully-rendered HTML content. Additionally, Next.js comes with built-in optimizations, such as automatic code splitting and prefetching, that contribute to better SEO performance.

Key SEO Factors to Consider in Next.js:

To optimize SEO in Next.js, let's dive into specific factors to consider:

1. Meta Tags and Title Optimization:

Next.js allows dynamic generation of meta tags and titles for each page. By leveraging the next/head component, you can customize these tags based on the page's content dynamically. Here's an example of how to set dynamic meta tags and titles:

import Head from 'next/head';

function MyPage() {
  return (
    <>
      <Head>
        <title>My Page | Next.js SEO</title>
        <meta name="description" content="This is the meta description for My Page" />
        {/* Additional meta tags */}
      </Head>
      {/* Page content */}
    </>
  );
}

2. Structured Data Markup:

Structured data helps search engines understand the context of your content. Next.js allows you to add structured data using the next-seo package. Refer to the Next.js documentation on structured data with next-seo.

3. URL Structure and Canonical URLs:

Next.js generates clean URLs by default based on the page structure. You can further optimize URLs by customizing them to include relevant keywords. Additionally, you should set canonical URLs to avoid duplicate content issues. The Next.js documentation on dynamic routes can help you structure your URLs effectively.

4. Sitemap Generation:

A sitemap helps search engines discover and index your web pages more efficiently. Next.js provides a way to generate a sitemap using the sitemap package. Check out the Next.js documentation on sitemap generation for detailed instructions.

5. Responsive and Mobile-Friendly Design:

Having a responsive and mobile-friendly design is crucial for SEO. Next.js, being a React framework, encourages building responsive layouts using CSS frameworks like Tailwind CSS or responsive design principles with CSS media queries.

Advanced SEO Techniques in Next.js:

Now, let's explore some advanced techniques to further optimize SEO in Next.js:

1. Dynamic Meta Tags and Titles:

Next.js allows you to dynamically generate meta tags and titles based on the content of each page. You can utilize server-side data fetching and pass the required information to the next/head component. For example:

import Head from 'next/head';

function Article({ article }) {
  return (
    <>
      <Head>
        <title>{article.title} | Next.js SEO</title>
        <meta name="description" content={article.excerpt} />
        {/* Additional meta

 tags */}
      </Head>
      {/* Article content */}
    </>
  );
}

export async function getServerSideProps(context) {
  // Fetch article data based on the context
  const article = await fetchArticle(context.params.slug);
  return {
    props: { article },
  };
}

2. Server-Side Rendering (SSR) for SEO:

Next.js's server-side rendering (SSR) capabilities provide search engines with fully-rendered HTML content, improving SEO visibility. By using the getServerSideProps function, you can fetch data during the server-side rendering process and pass it as props to your pages. This ensures search engines see the complete content of your pages. Here's an example:

export async function getServerSideProps(context) {
  // Fetch data from an external API
  const res = await fetch('https://api.example.com/data');
  const data = await res.json();

  return {
    props: { data },
  };
}

3. Implementing Open Graph and Twitter Cards:

Open Graph and Twitter Cards enhance how your web pages are displayed when shared on social media platforms. Next.js provides an easy way to configure these using the next-seo package. Refer to the Next.js documentation on Open Graph and Twitter Cards for detailed instructions.

4. Handling Pagination for SEO:

If your application implements pagination, it's essential to handle it properly for SEO. Next.js provides support for pagination using the next/link component and the rel="next/prev" attribute. Refer to the Next.js documentation on pagination for more information.

5. Optimizing Images for Search Engines:

Images can significantly impact SEO. Next.js provides built-in image optimization capabilities. You can optimize images by specifying attributes such as alt text, dimensions, and file size. Check out the Next.js documentation on image optimization for detailed instructions.

Monitoring and Analyzing SEO Performance:

To monitor and analyze the SEO performance of your Next.js application, you can utilize various tools and techniques:

1. Integrating Google Analytics:

Integrate Google Analytics into your Next.js application to track and analyze traffic, user behavior, and conversion rates. The Next.js documentation provides a guide on integrating Google Analytics.

2. Utilizing Google Search Console for Insights:

Google Search Console provides valuable insights into your website's organic performance, including search queries, click-through rates, and crawl errors. Verify your Next.js website with Google Search Console and leverage its data for SEO improvements.

3. Monitoring SERP Rankings and Click-Through Rates (CTR):

Track your website's rankings in search engine results pages (SERPs) and monitor the click-through rates (CTR) using SEO tools like SEMrush, Ahrefs, or Moz. Analyzing these metrics can help you identify areas for optimization.

Technical SEO Considerations for Next.js:

To ensure technical SEO best practices in your Next.js application, consider the following:

1. Properly Handling Redirects:

Implement proper redirects, such as 301 (permanent) and 302 (temporary) redirects, to avoid broken links and maintain link equity. You can handle redirects in Next.js using server-side logic or frameworks like next-routes.

2. Managing Duplicate Content and Canonicalization:

Duplicate content can harm your SEO rankings. Implement canonical tags in your Next.js application to specify the preferred version of a web page when duplicate content exists.

3. Implementing Pagination and `rel="next/prev"`:

For paginated content, use the rel="next/prev" attribute to signal to search engines the relationship between paginated pages. This helps search engines understand the pagination structure.

4. Managing 404 Errors and Custom Error Pages:

Properly handle 404 errors by creating custom error pages that provide helpful information to users and search engines. Next.js allows you to create custom 404 error pages by creating a pages/404.js file.

Performance Optimization and SEO:

Optimizing the performance of your Next.js application directly impacts SEO. Here are some techniques to consider:

1. Fast Page Load Times:

Improve page load times by leveraging Next.js's built-in optimizations, such as automatic code splitting and prefetching. Additionally, optimize asset sizes, leverage browser caching, and use CDNs to deliver content efficiently.

2. Lazy Loading and Code Splitting:

Lazy load and code split your Next.js application to load only the necessary components and assets when required. This reduces initial load times and improves the user experience.

3. Optimizing HTML and CSS:

Minify HTML and CSS files to reduce their sizes. Remove unnecessary code, comments, and whitespace to optimize loading times. Additionally, leverage Next.js's support for CSS frameworks like Tailwind CSS to streamline CSS delivery.

Staying Up-to-Date with SEO Best Practices:

To ensure ongoing SEO success, keep up with the latest SEO best practices:

1. Keeping Up with Algorithm Updates:

Stay informed about major search engine algorithm updates, such as Google's Core Updates, and adapt your SEO strategies accordingly. Follow reputable SEO resources, industry blogs, and official search engine webmaster guidelines.

2. Engaging in Link Building and Content Marketing:

Build high-quality backlinks to your Next.js application through content marketing, guest blogging, and influencer collaborations. Quality backlinks from authoritative sources can significantly improve search engine visibility.

3. Enhancing User Experience (UX) Signals:

Focus on improving user experience on your Next.js application. Factors such as site speed, mobile-friendliness, intuitive navigation, and engaging content all contribute to positive UX signals that can boost SEO performance.

Conclusion:

Optimizing SEO in Next.js requires a combination of technical implementation, content optimization, and ongoing monitoring. By leveraging advanced techniques, such as dynamic meta tags, SSR, structured data markup, and performance optimization, you can significantly improve search engine visibility and attract more organic traffic to your Next.js applications.

Remember to regularly review and update your SEO strategies as search engine algorithms and best practices evolve. By staying informed, implementing advanced techniques, and consistently monitoring performance, you can maintain a strong SEO presence for your Next.js applications and drive sustainable organic traffic.

Also don't forget to check out ZEGOCLOUD services for your next project.

ZEGOCLOUD is a cloud-native solution designed for facilitating video calls. By granting developers access to a comprehensive suite of APIs and SDKs, ZEGOCLOUD empowers them to effortlessly construct their own video calling applications.

Furthermore, you can explore an informative article detailing the process of swiftly creating a Video Call App utilizing the capabilities of ZEGOCLOUD, all within a time frame of fewer than 10 minutes.

Apart from the post you can also check out my Youtube video where I have created a detailed 10+ hours guide on creating whatsapp clone which is powered by ZEGOCLOUD for the video call and voice call services.

🔴 Build a Whatsapp Clone (Realtime Chat) using Next.js, Socket.io, Tailwind CSS, Node.js, Express, Prisma and Zegocloud

Kishan Sheth — Wed, 28 Jun 2023 04:08:39 +0000

Features of the WhatsApp Clone:
This comprehensive WhatsApp clone comes packed with a range of awesome features to give you an authentic messaging experience. Here are some highlights:

✅ Login with Google using Firebase: Seamlessly sign in with your Google account via Firebase integration.

✅ Switch between multiple databases using Prisma: Customize your database preferences to suit your needs effortlessly.

✅ Send and Receive Messages using Sockets: Real-time messaging capabilities using Socket.io for instant communication.

✅ Voice Call and Video Call Feature: Enjoy crystal clear voice and video calls within the app.

✅ Voice Notes with Live Audio Waveforms: Send and receive voice notes accompanied by live audio waveforms for an enhanced messaging experience.

✅ Support for Emoji: Express yourself with a wide range of emojis to add fun and emotions to your conversations.

✅ Send Images: Share images with your friends and loved ones effortlessly.

✅ Online/Offline Functionality: Easily identify the online and offline status of your contacts.

✅ Search Messages: Quickly find specific messages using the search functionality.

✅ Capture Photo From Camera: Take instant photos using your device's camera and send them instantly.

✅ Message Read Status: Know when your messages have been read by your recipients.

✅ Message Time: Stay updated with the time stamps of messages for better organization.

And many more awesome features await you in this WhatsApp clone!

Check out the full 10+ Hour Video on my youtube channel.

For more such Full Stack Clones subscribe to my youtube channel.

This clone uses Zegocloud for Voice and Video Functionality.

ZEGOCLOUD is a cloud-based video call platform that provides developers with a set of APIs and SDKs to easily build video calling applications.