This is a submission for the GitHub Finish-Up-A-Thon Challenge
From Prototype to Product: Why I Built Study Companion
As a student, I found myself constantly switching between apps while trying to study.
★One app for tasks.
★One for focus sessions.
★One for tracking progress.
★One for getting help when I was stuck.
Juggling multiple tools wasn't just annoying—it was a distraction machine. I didn't want another productivity app, I wanted a complete study system that students could genuinely rely on every single day.
That is why I built Study Companion
What is Study Companion?
Study Companion is a full-featured study productivity platform available on both web and mobile. It combines task management, focus tools, AI assistance, and progress tracking into a single, seamless experience.
Here is a look under the hood at what the platform includes:
• Subject & Topic Management
• Smart Task Management
• Pomodoro Timer & Focus Sounds
• AI Study Buddy
• Progress Analytics
• Consistency Heatmaps
• Cloud-Backed Storage
• Cross-Platform
The goal wasn't to build another productivity app.
The goal was to build a study system that students could genuinely rely on every day.'
At the start of the challenge, Study Companion already worked.
But it wasn't finished.
The GitHub Finish-Up-A-Thon gave me the perfect excuse to revisit the project and finally transform it from a working prototype into a complete product :)
Demo
Live Application: https://mystudy-companion.vercel.app/
Repository: https://github.com/amritkang165/study-companion
Before vs After
Data Storage
✿ Before
• Subjects stored in localStorage
• Tasks stored in localStorage
• Revisions stored in localStorage
• Data tied to a single browser
• No real backend
✿ After
• Full Supabase integration
• Dedicated database tables
• Row Level Security (RLS)
• Automatic migration of existing user data
• Cross device synchronization
• Persistent cloud-backed storage
This was the biggest architectural upgrade in the project.
What started as a browser-based prototype became a real cloud-backed application.
Key Improvements
⋆ Advanced Analytics : streak tracking, consistency heatmaps, weekly comparisons, progress visualizations, and priority insights generated entirely from existing task data.
⋆ Focus Mode : transformed a basic Pomodoro timer into a distraction-free study workspace with fullscreen mode, task panel, and focus sounds.
⋆ AI Study Buddy : upgraded to Groq + Llama 3.3 70B with summaries, question generation, and dedicated learning views.
⋆ Profile Management : editable profiles, synced user data, instant dashboard updates, and account statistics.
⋆ Mobile Support : fully responsive experience with mobile-optimized navigation and layouts.
⋆ UI Redesign : complete neo-brutalist design system with light/dark mode, improved accessibility, cleaner navigation, and a more polished dashboard experience.
The Comeback Story
I thought Study Companion was already finished. The tasks worked, the Pomodoro timer worked, and the AI worked.
• To truly finish it, I rebuilt major parts of the app—adding a proper backend with Supabase, real authentication, analytics, profile management, mobile support, and a complete UI redesign.
• I also refactored components, improved responsiveness, and polished the overall user experience.
• The result is a far more complete, scalable, and polished study platform than the version that originally entered the challenge.
Technical Highlights
Frontend
• React
• Context API
• Responsive Design
• Web Audio API
Backend
• Supabase Auth
• Supabase Database
• Row Level Security
AI
• Groq API
• Llama 3.3 70B Versatile
Features
• Optimistic UI updates
• Automatic data migration
• Cloud persistence
• Analytics engine
• AI-powered learning support
• Streak tracking
• Consistency monitoring
• Mobile and web support
My Experience with GitHub Copilot
GitHub Copilot served as a coding companion, turning ideas into implementations more efficiently.
I used Copilot extensively while:
Refactoring
• Large portions of the project were rewritten during the migration from localStorage to Supabase.
• Copilot helped accelerate repetitive CRUD patterns and state management logic.
Backend Integration
It was particularly useful while working with:
• Authentication flows
• Database queries
• Validation logic
• Error handling
UI Development
• Copilot helped speed up:
• Component creation
• Responsive layouts
• Dashboard improvements
• Styling iterations
Feature Development
• Analytics, profile management, Focus Mode, and AI-related features were much faster to iterate on thanks to Copilot's suggestions and scaffolding.
The result wasn't code that Copilot built for me.
It was code I could build faster because Copilot handled much of the repetitive work, allowing me to focus on architecture and user experience.
Top comments (8)
Interesting project, would definitely help a lot of students with their time and focus.
Thanks!!
Great work 👏
Thanks ☺️
Good work
Couldn't have done it without your support and encouragement.
Nice to see how a project turned into something like this!!
Glad you liked it!