# Insurance Contradiction Analysis

VIMS instance for insurance-contradiction.

## Related Article
[/insights/insurance-contradiction-analysis/](https://landvex.com/insights/insurance-contradiction-analysis/)

## Anomaly Classes
- condition_mismatch
- undisclosed_damage
- maintenance_neglect
- safety_violation
- value_discrepancy

## 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-contradiction/predict`
- WebSocket: `ws://host/ws/insurance-contradiction/alerts`