Vision: To transform any document into a personalized, immersive learning experience with a voice-enabled AI teacher that instructs you in real-time.
Status: In Development - Building the foundation for a revolutionary learning platform.
This project is a state-of-the-art AI teaching platform where users upload their documents, define their learning goals, and receive personalized whiteboard-style lessons from a sophisticated multi-agent AI system. Our core focus is on a minimalist, distraction-free user experience, powered by cutting-edge AI and real-time voice synthesis to create a learning environment that is both effective and engaging.
Our vision is to make learning deeply personal and intuitive. The user journey is simple:
📚 Upload Documents → 🎯 Define Learning Goal → 🤖 AI Generates Lesson Plan → 🎙️ AI Teaches with Voice & Whiteboard
How It Will Work:
- 📥 Upload Any Source: Users provide their learning materials—books, research papers, articles, etc.
- 🎯 Define Learning Goals: Users state what they want to learn in their own words (e.g., "Explain the theory of relativity using this book").
- 🤖 AI Lesson Generation: A multi-agent system analyzes the documents and crafts a bespoke curriculum tailored to the user's goals.
- 🎙️ Real-Time AI Teaching: The AI teacher presents the lesson on a clean, digital whiteboard, speaking naturally while illustrating key concepts—just like a real tutor.
Inspired by the design ethos of Apple and OpenAI, our goal is to create an application that is not only powerful but also a joy to use.
- Zero Cognitive Load: The interface will be clean, simple, and focused, removing all unnecessary distractions.
- Immersive Experience: Full-screen, focused learning modes that help users dive deep into their subjects.
- Aesthetic & Responsive: A beautiful, modern design that looks and feels great on any device, from a phone to a large display.
- World-Class UX: Every interaction is designed to be smooth, intuitive, and natural.
We are building a robust and scalable platform using a modern, multi-service architecture.
- Frontend: React Native (with Expo) for a unified codebase across iOS, Android, and the web.
- Backend Gateway: NestJS for a reliable and efficient API gateway.
- AI Services: Python-based microservices for specialized AI tasks.
- AI Orchestration: LangChain to coordinate our multi-agent system.
- Language Models: A flexible, multi-provider approach supporting:
- OpenAI (GPT-4 and other models)
- Anthropic (Claude series)
- Google (Gemini series)
- Voice Synthesis: Multi-provider voice system with intelligent fallback:
- Primary Provider: ElevenLabs - Premium AI voices with natural expression and emotion
- Secondary Provider: Azure Speech - High-quality neural voices with SSML support
- Fallback Provider: Google TTS (gTTS) - Reliable basic text-to-speech for development
This is our step-by-step plan to bring the vision to life.
- Refine project vision and create a clear roadmap (this
README.md). - Design and implement the initial user interface: A minimalist prompt for learning goals and document upload.
- Set up and verify the basic project structure and dependencies for the frontend, backend, and Python services.
- Implement the document upload pipeline and a basic document processing service.
- Create a
Lesson Planning Agentthat generates a curriculum from user goals and uploaded content. - Develop the
Whiteboard Teachinginterface where the AI presents the lesson visually (text and simple diagrams). - Build the first end-to-end flow: User prompt → Lesson Plan → Text-based whiteboard teaching.
- Create an enhanced
Voice Synthesis Servicewith multi-provider support (ElevenLabs, Azure, gTTS). - Implement intelligent provider fallback system for maximum reliability.
- Synchronize premium voice narration with content appearing on the whiteboard.
- Implement robust audio playback capabilities in the React Native app using
expo-av.
- Enhance the AI agents for deeper content understanding, dynamic teaching, and interactive Q&A.
- Refine the UI/UX for a seamless and immersive learning experience.
- Implement user session management and progress tracking.
- Enhance the AI agents for deeper content understanding, dynamic teaching, and interactive Q&A.
- Refine the UI/UX for a seamless and immersive learning experience.
- Implement user session management and progress tracking.
- Conduct performance optimization and load testing to ensure the system is scalable and reliable for >10,000 users.
- Prepare the full platform for production deployment.
The project is structured as a multi-service architecture to ensure separation of concerns and scalability.
Lucid/
├── 📱 app/ # React Native Frontend
├── 🖥️ server/ # Node.js NestJS Backend API Gateway
├── 🐍 python_services/ # Python AI Microservices
│ ├── 🤖 multi_agent_orchestrator/
│ ├── 📄 document_processor/
│ ├── 🎙️ voice_synthesis_service/
│ ├── 🎓 teaching_content_service/
│ ├── 💬 qna_agent_service/
│ └── 📚 shared/
├── 💾 storage/ # File storage & vector DB
└── ...
"Upload your materials. Define your goals. Let our AI teach you with the personalization of a private tutor and the clarity of a world-class instructor."