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title: Evolution Aurora - AI Learning to Code | |
emoji: ๐ | |
colorFrom: purple | |
colorTo: green | |
sdk: gradio | |
sdk_version: 5.33.1 | |
app_file: app.py | |
pinned: true | |
tags: | |
- track3-agentic-demo | |
- modal-sponsor | |
- evolution | |
- visualization | |
- ai-agents | |
- mcp | |
- hackathon | |
license: mit | |
# ๐ Evolution Aurora - Watch AI Learn to Code | |
**HuggingFace Agents-MCP Hackathon 2025 Submission** | |
## ๐ Track 3: Agentic Demo Showcase | |
Experience the magic of AI evolution in real-time! Watch as artificial intelligence learns to write better code through evolutionary algorithms, visualized with stunning aurora particle effects. | |
### โจ Key Features | |
- **Aurora Particle Effects**: Beautiful visual bursts triggered by fitness improvements | |
- **3D Fitness Landscape**: Watch programs climb toward optimal solutions | |
- **Real-time Evolution**: See AI improve code generation by generation | |
- **Interactive Controls**: Start/stop evolution and observe the process | |
### ๐ค Agent Integration | |
This demo showcases how AI agents can evolve and improve code autonomously using the [Evolve framework](https://github.com/johan-gras/evolve). The visualization makes the abstract process of machine learning tangible and beautiful. | |
### ๐ Sponsor: Modal | |
Designed to leverage Modal's cloud infrastructure for parallel evolution execution (demo runs in simulation mode). | |
### ๐ ๏ธ Technical Stack | |
- **Frontend**: Gradio with custom HTML5 Canvas | |
- **Visualization**: Plotly for 3D landscapes | |
- **Effects**: Pure JavaScript particle system | |
- **Framework**: Evolve (evolutionary algorithms) | |
### ๐ฎ How to Use | |
1. Click "Start Evolution" to begin | |
2. Watch the aurora effects burst with each improvement | |
3. Observe programs climbing the fitness landscape | |
4. Monitor real-time progress in the event log | |
Built with โค๏ธ for the HF Agents-MCP Hackathon 2025 |