α Rooms

α-rooms is designed as the next generation of virtual meeting platforms, focusing on intelligent and seamless collaboration. It integrates cutting-edge AI features to enhance the meeting experience.

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α Rooms – Smarter Conversations, Smarter Collaboration

🚀 Inspiration

While preparing for exams, my friends and I often used ChatGPT and other AI tools to study together. But the experience became messy — long conversations were difficult to turn into PDFs, we had to manually explain each AI chat to others, and organizing important insights was a constant struggle. The vision behind α Rooms was to unify this collaborative experience in a single, intelligent space — like Google Meet, but where both people and custom AI bots can interact in real time and build notes together effortlessly.

💡 What it does

α Rooms is a Google Meet–like chat platform where:

  • Multiple users and multiple AI bots can join a real-time group session.
  • Each bot can be customized with different APIs, providers, and prompt behaviors, acting as expert assistants.
  • Chats inside the meeting are visible to all members, including bots.
  • Users can selectively mark messages as important, which are instantly saved to topic-specific PDFs — no copy-pasting required.
  • The experience is unified — everyone sees the same room, chats, and notes.
  • Future versions will enable voice interactions with AI bots using voice-based AI tools.

🛠️ How we built it

The α Rooms application is built using a modern web development stack optimized for performance, developer experience, and a rich UI.

🔧 Frontend Stack:

  • React – Core UI framework for building interactive components
  • TypeScript – Ensures type safety and improves code reliability
  • Vite – Ultra-fast build tool and dev server for blazing-fast hot module replacement (HMR)
  • Tailwind CSS – Utility-first CSS framework for rapid UI development
  • PostCSS + Autoprefixer – Enhances Tailwind with cross-browser compatibility
  • Lucide React – For crisp, customizable SVG icon components
  • ESLint – Configured with React-specific plugins, including:
    • eslint-plugin-react-hooks – Ensures correct usage of hooks
    • eslint-plugin-react-refresh – Helps maintain fast refresh without breaking state

🧠 Additional Integrations:

  • Firebase – Manages authentication, real-time messaging, and database storage
  • Custom AI Bot Handlers – Each bot is powered by configurable API keys and prompt behaviors
  • jsPDF – Enables one-click export of selected chat messages to organized PDF files

This stack allows rapid iteration, high performance, and a scalable base for integrating advanced AI features and real-time collaboration tools.

🧗‍♂️ Challenges we ran into

  • Creating dynamic rooms where both humans and bots could coexist and respond in sync was tricky.
  • Firebase rules and room-level message structures took time to design right.
  • Ensuring low-latency messaging while integrating bot APIs slowed things down initially.
  • Building a seamless 1-click PDF export from a reactive UI proved harder than expected.
  • Making bots behave independently while remaining contextually aware was a tough architectural decision.

🏆 Accomplishments that we're proud of

  • Built a multi-user, multi-bot real-time chat system from scratch.
  • Created a novel way to collaboratively curate important study content into PDFs with 1-click interactions.
  • Designed a framework that supports custom AI integration for each bot, making the system flexible and modular.
  • Made the experience truly collaborative — not just chatting, but learning, building, and archiving together.

📚 What we learned

  • Firebase is powerful but opinionated — planning your schema first saves a lot of debugging.
  • Real-time apps need tight UI logic to avoid race conditions and laggy updates.
  • AI is best when contextual — having multiple focused bots in one room is more useful than a single generalist.
  • UX matters: people want speed, simplicity, and clarity, especially in study or productivity tools.

🔮 What's next for α Rooms

  • 🎙️ Voice Interaction: Integrate ElevenLabs, Google TTS, or other voice APIs to allow bots to speak and listen.
  • 🧠 Bot Memory: Add long-term memory for bots so they can track room topics over sessions.
  • 💬 Bot Personas: Let users upload knowledge or documents to create personalized expert bots.
  • 📌 Smart Highlights: AI-powered message suggestions for what to save to the PDF.
  • 🧾 Multi-format Exports: Export to markdown, Notion, Google Docs, and more.
  • 🌐 Public Rooms: Let users create open study groups powered by community bots.

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