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dahmen mohamed amine
dahmen mohamed amine

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Building Wordly: A Complete Language Learning App in 3 Months with AI Assistance

#ai #python #programming #react

In just three months, I designed and developed Wordly, a complete language-learning application, from backend architecture to mobile deployment.

The application offers interactive exercises, vocabulary packs, real-time voice chatrooms, a tutor marketplace, gamification systems, and an integrated payment solution.

Using AI-assisted development tools throughout the process significantly accelerated delivery while preserving a clean, scalable, and production-ready architecture.

👉 Lien Google Play

🔗 MemoWords – Disponible sur Google Play

Architecture Overview

This clear separation enables:

  • Independent evolution of components
  • Improved resilience
  • Horizontal scalability

Frontend – React Native Mobile Application

Technical Stack

Technology Version Purpose
React Native 0.79.5 Cross-platform mobile app
React 19.0.0 UI management
React Navigation 6.x Navigation
Firebase 23.4.0 Authentication, analytics, notifications
Stripe RN 0.38.6 Payments
WebRTC 124.0.6 Real-time audio
Google Mobile Ads 14.11.0 Monetization
AsyncStorage 1.24.0 Local storage
Jest 29.7.0 Testing

Key Features

  • 🌍 Multilingual support: English, French, Arabic, Spanish, German, Italian, Portuguese
  • 📚 Interactive exercises: flashcards, multiple choice, fast translations
  • 🎮 Full gamification system: XP, levels, achievements, leaderboards, daily goals
  • 🎓 Tutor marketplace: bookings and voice sessions
  • 🗣️ Community features: voice chatrooms, conversations, articles
  • 🧠 Structured learning paths: courses, lessons, progress tracking
  • 📦 Offline mode: locally available word packs and exercises

Project Structure

src/
├── components/ # Reusable UI components
├── screens/ # Screens (70+)
├── services/ # Business logic & API (27+)
├── contexts/ # Global state
├── hooks/ # Custom hooks
├── config/ # Configuration
├── utils/ # Utility functions
└── translations/ # Internationalization

This structure improves readability, testability, and code reuse.

Backend – Flask REST API

Architectural Principles

  • Framework: Flask
  • Style: RESTful JSON
  • Deployment: PythonAnywhere
  • Configuration: Environment-based (no hardcoded values)

API Categories

Domain Endpoints Description
Auth /api/auth/* Login, registration
Content /api/packs, /api/articles Vocabulary & content
Learning /api/courses, /api/exercises Progress tracking
Social /api/chatrooms, /api/conversations Community
Tutors /api/tutors/*, /api/sessions/* Bookings
Gamification /api/gamification/* XP, achievements
Payments /api/no-ads/*, /api/forfaits/* Stripe

Backend Features

  • 🔐 CAPTCHA and anti-abuse protection
  • 💳 Secure Stripe payments
  • 🎮 Advanced gamification calculations
  • 📊 User analytics and tracking
  • 🔔 Notifications and reminders

Voice Backend – Django & WebSockets

Why a Separate Backend?

PythonAnywhere does not support WebSockets, so a dedicated backend was required for real-time communication.

  • Framework: Django + Channels
  • Hosting: Render.com
  • Protocol: Secure WebSocket (WSS)
  • Audio Communication: WebRTC P2P

Real-Time Features

  • Voice room creation and management
  • Role management (speaker / listener)
  • Paid tutor sessions
  • Collaborative whiteboard
  • Camera sharing
  • Event logging
  • Health check endpoint

WebRTC Signaling

wss://${voicechatroom_backend_url}/ws/voice/{roomId}/

const peerConnection = new RTCPeerConnection({
  iceServers: [
    { urls: 'stun:stun.l.google.com:19302' },
    { urls: 'stun:stun1.l.google.com:19302' }
  ]
});
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Deployment on Render.com

Why Render.com?

Render.com was chosen to host the real-time backend due to several key advantages:

  • ✅ Native WebSocket support
  • 🔐 HTTPS / WSS secure communications
  • 🚀 Simple deployment from Git repositories
  • 🔌 Django Channels compatibility
  • 🧪 Suitable for testing and validation environments

AI Contribution (Cursor AI)

Main Benefits

  • ⚡ Rapid prototyping (~70% development time saved)
  • 🎯 Code consistency across the entire project
  • 🐛 Advanced debugging support (WebRTC, native dependencies, mobile builds)
  • 📚 Accelerated documentation generation
  • 🔄 Intelligent refactoring and reduced code duplication
  • ✅ Automated test templates

Conclusion

The development of Wordly demonstrates that combining:

  • 🏗️ Modular architecture
  • 🤖 AI-assisted development
  • 🚀 Automated deployments
  • 🧪 Systematic testing
  • ⚙️ Dynamic configuration

allows a solo developer to deliver a production-ready application in a short timeframe without compromising technical quality.

Key Statistics

  • 70+ screens
  • 27+ services
  • 50+ API endpoints
  • 12 supported languages
  • Integrated payments and real-time audio

Key Takeaways

AI accelerates development but does not replace architectural thinking.

A solid architecture enables rapid iteration without technical debt.

Future Enhancements

  • 🔍 Advanced load testing
  • 📡 Observability and distributed tracing
  • 📊 Behavioral analytics
  • 🔐 Automated security in CI/CD pipelines
  • ⚡ Global performance optimization

Built with ❤️ using React Native, Flask, Django, and AI.

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