# SVGFTW: SVG For The Win

An advanced SVG manipulation library with quantum computing, AI, and bio-algorithm features.

## Features

- **Quantum-enhanced rendering** - Leverage quantum computing for generative art
- **AI style transfer** - Apply neural style transfer techniques to SVG elements
- **Bio-algorithm patterns** - Create organic patterns inspired by biological systems
- **Holographic/3D effects** - Add depth and dimension to otherwise flat SVG
- **Advanced filtering** - Apply complex filters beyond standard SVG capabilities

## Installation

```bash
pip install svgftw
```

## Basic Usage

```python
from svgftw import SVGFTW

# Create a new SVG canvas
svg = SVGFTW(width=800, height=600)

# Add a simple rectangle
svg.add_element('rect', x=10, y=10, width=100, height=50, fill="blue")

# Add a circle
svg.add_element('circle', cx=400, cy=300, r=50, fill="red")

# Save to file
svg.save("my_drawing.svg")
```

## Documentation

See the [tutorials](Tutorials/) for more examples and detailed documentation.

## License

MIT
