AI Document Generator

An intelligent document generation platform that creates professional Word documents and PowerPoint presentations using AI.

Features

• 🤖 AI-Powered Generation: Uses Google Gemini to generate document outlines and content
• 📄 Multiple Formats: Support for Word (.docx) and PowerPoint (.pptx) documents
• 🎨 Beautiful 3D UI: Modern interface with Three.js visualizations
• ✏️ Interactive Editor: Edit, comment, and provide feedback on generated content
• 🔐 Authentication: Secure user authentication with JWT
• 💾 Project Management: Save and manage multiple document projects

Tech Stack

Backend

• FastAPI (Python)
• SQLAlchemy (ORM)
• SQLite (Database)
• Google Gemini AI
• JWT Authentication

Frontend

• React + TypeScript
• Vite
• TailwindCSS
• Three.js (React Three Fiber)
• Framer Motion
• Axios

Setup Instructions

1. Backend Setup

1. Navigate to the backend directory:

cd backend

2. Install Python dependencies:

pip install -r requirements.txt

3. Create a .env file (copy from .env.example):

cp .env.example .env

4. Edit .env and add your credentials:

   • SECRET_KEY: Generate a random secret key for JWT
   • GEMINI_API_KEY: Get your API key from Google AI Studio

5. Start the backend server:

Windows (PowerShell):

.\start_server.ps1

Windows (Batch):

start_server.bat

Mac/Linux:

uvicorn main:app --reload

The backend will run on http://localhost:8000

2. Frontend Setup

1. Navigate to the project directory:

cd project

2. Install Node.js dependencies:

npm install

3. Start the development server:

npm run dev

The frontend will run on http://localhost:5173

Usage

1. Sign Up / Login: Create an account or login to existing account
2. Create Project: Click "New Project" and configure your document
3. Generate Outline: Enter a topic and let AI generate an outline
4. Edit Outline: Add, remove, or modify sections
5. Generate Content: Click "Generate Full Text" to create content for all sections
6. Edit & Review: Review generated content, provide feedback, and edit as needed
7. Export: Download your document as .docx or .pptx

API Endpoints

Authentication

• POST /register - Register new user
• POST /token - Login and get access token

Projects

• GET /projects - List all projects
• POST /projects - Create new project
• GET /projects/{id} - Get project details
• DELETE /projects/{id} - Delete project
• GET /projects/{id}/export - Export document

Sections

• POST /sections - Create section
• GET /projects/{id}/sections - Get project sections
• PATCH /sections/{id} - Update section
• DELETE /sections/{id} - Delete section

AI Generation

• POST /generate/outline - Generate document outline
• POST /generate/section - Generate section content

Environment Variables

Backend (.env)

SECRET_KEY=your-jwt-secret-key
GEMINI_API_KEY=your-google-gemini-api-key

Development

Backend Development

cd backend
uvicorn main:app --reload

Frontend Development

cd project
npm run dev

Type Checking (Frontend)

npm run typecheck

Linting (Frontend)

npm run lint

Database

The application uses SQLite for data storage. The database file (app.db) is automatically created in the backend directory on first run.

Security Notes

• Never commit your .env file to version control
• Use strong, random secret keys in production
• Keep your API keys secure
• Use HTTPS in production

Troubleshooting

Backend Issues

Port already in use:

• Change the port in the start script or kill the process using port 8000

Database errors:

• Delete app.db and restart to recreate the database

API key errors:

• Verify your Gemini API key is correct and active

Frontend Issues

CORS errors:

• Ensure backend is running on port 8000
• Check CORS settings in backend/main.py

Module not found:

• Run npm install again

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.