🧠 AMD EduMind

An AI-powered educational platform built with a React + Vite frontend and a FastAPI + LangChain backend. EduMind leverages modern AI/ML libraries to deliver intelligent learning experiences.

---

🚀 Tech Stack

Frontend

Tech	Role
React	UI framework
Vite	Build tool & dev server
Tailwind CSS	Styling

Backend

Tech	Role
FastAPI	REST API server
LangChain	LLM orchestration
LlamaIndex	Document indexing & retrieval
ONNX Runtime	Model inference
SQLite	Local database

---

📁 Project Structure

AMD_Edu_Mind/
├── backend/             # FastAPI server (Python)
│   ├── main.py
│   └── requirements.txt
├── src/                 # React frontend source
├── index.html
├── vite.config.js
├── tailwind.config.js
├── postcss.config.js
└── package.json

---

⚙️ Getting Started

Prerequisites

• Node.js (v18+)
• Python 3.9+
• npm

---

Frontend Setup

# Install dependencies
npm install

# Start dev server (runs on http://localhost:5173)
npm run dev

---

Backend Setup

cd backend

# Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate       # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Start FastAPI server (runs on http://localhost:5000)
uvicorn main:app --reload --host=0.0.0.0 --port=5000

The frontend is pre-configured to call the backend at http://localhost:5000. CORS is enabled.

---

🛠️ Available Scripts

Command	Description
npm run dev	Start frontend dev server
npm run build	Build frontend for production
npm run preview	Preview production build

---

🤝 Contributing

1. Fork the repository
2. Create your feature branch: git checkout -b feature/your-feature
3. Commit your changes: git commit -m 'Add your feature'
4. Push to the branch: git push origin feature/your-feature
5. Open a Pull Request

---

📄 License

This project is open source. Feel free to use and modify it.

---

Built by uddhav05-cyber