---
title: Driver and Fraud Risk Hub
emoji: 🛡️
colorFrom: purple
colorTo: red
sdk: docker
app_port: 8501
tags:
- streamlit
- classification
- fraud-detection
- risk-modeling
pinned: false
short_description: Driver claim and transaction fraud risk screening
---

# Driver & Fraud Risk Hub

Two interactive risk-modeling projects:

- Porto Seguro driver claim probability screening;
- PaySim mobile-money transaction fraud-risk screening.

The fraud model was retrained without account names or balance fields and evaluated on 64,554 unseen transactions, reaching **0.971 ROC-AUC** and **87.8% fraud recall**. Outputs prioritize cases for human review; they are not accusations, insurance quotes or automated eligibility decisions.