README.md

AI Support Application

A comprehensive AI system with multiple integrated capabilities for various tasks including learning, analysis, and content generation.

Features

• Multiple integrated AI systems
• Centralized service management
• Real-time processing capabilities
• Scalable architecture
• REST API endpoints

Tech Stack

• FastAPI
• Python 3.9+
• Various AI/ML libraries
• Docker

Local Development

1. Clone the repository:

git clone https://github.com/yourusername/ai-support-app.git
cd ai-support-app

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Run the application:

uvicorn backend.main:app --reload

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

Free Deployment on Render.com

1. Create a free account on Render.com

2. Connect your GitHub repository to Render

3. Create a new Web Service:

   • Choose your repository
   • Select "Docker" as the environment
   • The rest will be configured automatically using render.yaml

4. Set up environment variables in Render dashboard:

   • ENVIRONMENT=production
   • Add any API keys or secrets needed

5. Deploy:

   • Render will automatically build and deploy your application
   • You'll get a free URL like: https://your-app-name.onrender.com

API Documentation

Once deployed, visit /docs or /redoc for complete API documentation.

Free Tier Limitations

• Render free tier goes to sleep after 15 minutes of inactivity
• Wakes up automatically on new requests (may take 30 seconds)
• 512 MB RAM limit
• 0.1 CPU limit
• 500 hours/month free usage

Monitoring

Access basic monitoring through Render dashboard:

• CPU usage
• Memory usage
• Request logs
• Error logs

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit changes
4. Push to the branch
5. Open a Pull Request

License

MIT License - feel free to use this project for any purpose.