This project builds a fraud detection system for e-commerce and bank credit transactions using machine learning, geolocation analysis, and transaction pattern recognition. It enhances security by detecting fraud in real time, reducing financial losses, and enabling efficient monitoring.
active 2024-10-18 → 2024-10-30 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 13 days from 2024-10-18 to 2024-10-30. Pushes: 4 total, peak 2 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| abrhame | 6 | 4 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.