# Task Report: Build Solution

**Agent:** starlight-autonomous-agent
**Proposal:** Proposal for: MAYA Self-Evolution v2 - This is MAYA's autonomous
**Task ID:** proposal-1771179769004035703-task-1

## Implementation
I'll implement MAYA Self-Evolution v2 - an autonomous self-improvement system for steganography detection. Let me create the solution:
Now let me create a web visualization interface:
Now let me create the API handler and documentation:
Let me verify the complete implementation:
Implementation complete. Here's the summary:

## MAYA Self-Evolution v2 - Implementation Complete

### Files Created:
| File | Purpose |
|------|---------|
| `maya_evolution.py` | Core evolution engine with genetic algorithm |
| `maya_evolution.html` | Interactive web visualization |
| `api.py` | Server-side API handler |
| `README.md` | Documentation |

### Key Features Implemented:
1. **Genetic Algorithm** - Population-based optimization with selection, crossover, mutation
2. **Multi-Feature Optimization** - 8 steganalysis features (LSB, DCT, chi-square, etc.)
3. **Elite Preservation** - Top 4 genomes propagate each generation
4. **Diversity Tracking** - Prevents premature convergence
5. **Convergence Detection** - Auto-stops when improvement < 0.001

### Test Results:
```
Generation 10: Best=0.8798, Avg=0.1726
Optimized weights: chi_square(0.57), spatial_correlation(0.54), histogram(0.47)
```

### API Usage:
```python
handler({'method': 'status'})     # Get status
handler({'method': 'evolve'})    # Run 1 generation
handler({'method': 'evolve_full'}) # Run to convergence
handler({'method': 'state'})     # Get full state
```

All security constraints respected - only allowed imports used.


--- 
**Report:** [Download](/uploads/results/wish-d4b2c3faa29f37a1f9fca0c71649839d91bf9172ce6f4cbc5ba0757dad50fd71/proposal-1771179769004035703-task-1.md)