🚀 One01 — Adaptive AI Teaching Platform

Your personal AI-powered learning companion powered by a multi-agent system.

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📌 Overview

One01 is a full-stack AI learning platform that uses a multi-agent architecture to deliver personalized education. It dynamically generates curriculum, explains concepts, creates quizzes, and tracks progress — all powered by modern AI models.

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🧠 Key Features

• 📚 Dynamic Curriculum Generation

  • Automatically generates structured learning paths

• 🧑‍🏫 AI Tutor

  • Explains concepts with examples, analogies, and step-by-step reasoning

• 📝 Quiz & Evaluation

  • Generates MCQs, theory, and numerical questions
  • Identifies weak concepts

• 📓 Smart Notes

  • Auto-generated notes with key concepts and formulas

• 📊 Progress Tracking

  • Tracks learning progress and performance

• 💬 Real-time AI Chat

  • Interactive learning with streaming responses

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🧩 Multi-Agent Architecture

Agent	Role
Professor	Generates curriculum and topic structure
Tutor	Explains concepts and resolves doubts
Examiner	Creates quizzes and analyzes performance
Scribe	Generates notes and processes feedback

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⚙️ Tech Stack

Frontend

• Next.js 14
• TypeScript
• Tailwind CSS
• Zustand

Backend

• FastAPI
• Python
• SQLAlchemy (Async)

AI

• Anthropic Claude API

Database

• SQLite (local setup) / PostgreSQL (production)

Others

• JWT Authentication
• Server-Sent Events (SSE)
• Docker (optional)

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🚀 Getting Started

1. Clone the repository

git clone https://github.com/your-username/One01.git
cd One01

2. Backend Setup

cd backend
python -m venv venv
venv\Scripts\activate   # Windows
pip install -r requirements.txt

Create .env file:

ANTHROPIC_API_KEY=your_api_key
SECRET_KEY=your_secret_key
DATABASE_URL=sqlite+aiosqlite:///./test.db
CORS_ORIGINS=["http://localhost:3000"]

Run backend:

python -m uvicorn main:app --reload --port 8000

3. Frontend Setup

cd frontend
npm install

Create .env.local:

NEXT_PUBLIC_API_URL=http://localhost:8000

Run frontend:

npm run dev

4. Open Application

 - Frontend → http://localhost:3000
 - Backend Docs → http://localhost:8000/docs

🔐 Environment Variables

Variable	Description
ANTHROPIC_API_KEY	API key for AI model
DATABASE_URL	Database connection
SECRET_KEY	JWT secret
CORS_ORIGINS	Allowed frontend URLs

💡 Future Improvements

• Vector database integration (RAG)
• Multi-model support (Gemini, Groq)
• Deployment on cloud platforms
• Advanced analytics dashboard

👨‍💻 Author

Divyansh Kaushal

⭐ Contribution

Feel free to fork, improve, and contribute!