AutoGenesis - AI-Powered App Generator

AutoGenesis is an intelligent application that uses AI to automatically generate complete web applications based on user descriptions. It combines a FastAPI backend with a modern React/TypeScript frontend to create a seamless user experience.

Demo Video

Click here to watch the demo video

Project Overview

AutoGenesis leverages AI technology to:

• Generate complete web applications from natural language descriptions
• Create functional backend and frontend code automatically
• Provide a user-friendly interface for app generation
• Store and manage generated applications

Project Structure

AutoGenesis/
├── backend/                 # FastAPI Backend
│   ├── api.py             # Main API endpoints
│   ├── auth.py            # Authentication logic
│   ├── database.py        # Database configuration
│   ├── main.py            # Application entry point
│   ├── models.py          # Database models
│   ├── schemas.py         # Request/Response schemas
│   └── output/            # Generated applications output
│
├── frontend/              # React + TypeScript Frontend
│   ├── src/
│   │   ├── components/    # React components
│   │   ├── pages/         # Page components
│   │   ├── context/       # Context API
│   │   ├── App.tsx        # Main App component
│   │   └── main.tsx       # Entry point
│   ├── package.json       # Node dependencies
│   └── vite.config.ts     # Vite configuration
│
├── env/                   # Python virtual environment
├── requirements.txt       # Python dependencies
└── README.md             # This file

Tech Stack

Backend

• Framework: FastAPI
• Database: PostgreSQL
• Authentication: JWT
• AI Integration: Google Generative AI

Frontend

• Framework: React 18
• Language: TypeScript
• Build Tool: Vite
• Styling: CSS

Getting Started

Prerequisites

• Python 3.10+
• Node.js 18+
• npm or yarn

Backend Setup

1. Navigate to the backend directory:

cd backend

2. Create and activate virtual environment:

python -m venv ../env
../env/Scripts/activate  # On Windows

3. Install dependencies:

pip install -r ../requirements.txt

4. Run the server:

uvicorn api:app --reload

The API will be available at http://localhost:8000

Frontend Setup

1. Navigate to the frontend directory:

cd frontend

2. Install dependencies:

npm install

3. Run the development server:

npm run dev

The frontend will be available at http://localhost:5173

Features

✨ AI-Powered Generation: Automatically generate applications from descriptions 📱 Responsive Design: Works seamlessly on all devices 🔐 Secure Authentication: JWT-based user authentication 💾 Persistent Storage: Save and manage generated applications ⚡ Real-time Updates: Watch your app being generated in real-time

API Documentation

Once the backend is running, access the interactive API documentation:

• Swagger UI: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc

Generated Applications

Successfully generated applications are stored in backend/output/ directory, each with:

• app.py: Generated application code
• README.md: Application documentation
• evocore_memory.json: AI memory/context for the generation

Contributing

1. Create a new branch for your feature
2. Make your changes
3. Test thoroughly
4. Submit a pull request

License

This project is developed as part of the Chitkara University FED curriculum.

Contact

For questions or support, please reach out to the development team.

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