Inspiration

Students often struggle with maintaining consistency, avoiding distractions, and studying collaboratively in an engaging environment. Most productivity tools only solve a single problem — either task management, focus tracking, or communication. We wanted to build a unified platform that combines AI assistance, realtime collaboration, focus management, and analytics into one modern ecosystem for students and focused learners.

What it does

StudyTogether-AI is an AI-powered collaborative productivity platform designed to improve study efficiency and consistency.

The platform includes:

• Smart task and to-do management
• Pomodoro-based focus sessions
• Persistent study session tracking
• Analytics dashboard with focus insights
• Study consistency heatmaps
• Realtime collaborative study rooms
• AI-powered study assistant for doubts, study plans, and productivity help

The application helps users stay productive, collaborate with peers, and gain insights into their learning patterns.

How we built it

We built the frontend using React, TypeScript, Vite, and Tailwind CSS with a modular and scalable architecture. For backend infrastructure, we used Supabase for authentication, PostgreSQL database management, realtime synchronization, and Row Level Security (RLS).

Realtime collaborative study rooms were implemented using Supabase Realtime subscriptions, allowing live participant updates without page refreshes.

For AI capabilities, we integrated OpenRouter APIs to provide an interactive AI study assistant capable of answering study-related questions and generating productivity suggestions.

The platform was designed with reusable UI components and a modern responsive interface to ensure a smooth user experience.

Challenges we ran into

One of the biggest challenges was implementing secure backend logic using Row Level Security policies in Supabase while maintaining seamless user interactions.

We also faced challenges while integrating realtime synchronization for collaborative rooms and managing persistent study session tracking.

Another major challenge was integrating AI APIs efficiently while handling rate limits, authentication issues, and frontend request management.

Managing scalable project architecture and ensuring different modules worked together cohesively was also an important learning experience.

Accomplishments that we're proud of

• Successfully built a fullstack AI-powered productivity platform
• Implemented realtime collaborative study rooms
• Integrated secure authentication and database architecture
• Developed analytics dashboards and consistency tracking
• Added AI-powered study assistance
• Created a scalable and modular frontend architecture
• Designed a modern and responsive user interface

What we learned

Through this project, we gained hands-on experience with:

• Fullstack application development
• Realtime systems using Supabase
• Authentication and database security with RLS
• AI API integrations
• State management and scalable React architecture
• Designing productivity-focused user experiences
• Managing complex feature integration in a collaborative platform

What's next for StudyTogether AI

We plan to expand the platform further by adding:

• AI-generated personalized study plans
• Shared room chat and communication features
• Computer vision-based focus monitoring using OpenCV
• Leaderboards and gamification systems
• Advanced analytics and productivity insights
• Mobile responsiveness improvements
• Voice and video-enabled collaborative study rooms

Our long-term vision is to evolve StudyTogether-AI into a comprehensive AI-driven productivity ecosystem for students and learners worldwide.

Built With

• ai
• api
• css
• github
• integration
• openrouter
• postgresql
• react
• realtime
• supabase
• tailwind
• typescript
• vite