# Insurance Risk Assessment

VIMS instance for insurance-risk.

## Related Article
[/insights/pre-loss-surveys-insurance/](https://landvex.com/insights/pre-loss-surveys-insurance/)

## Anomaly Classes
- roof_damage
- foundation_crack
- water_damage
- fire_hazard
- structural_issue

## Quick Start

1. Add training images to `data/raw/`
2. Annotate using LabelImg (YOLO format)
3. Run preprocessing: `python src/detector.py`
4. Train model: `python src/detector.py --train`
5. Run inference: `python src/detector.py --predict data/test/image.jpg`

## API

Once deployed, access via:
- REST: `POST /api/insurance-risk/predict`
- WebSocket: `ws://host/ws/insurance-risk/alerts`