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2024Real-Time Fraud Detection & Risk Analytics Dashboard
DeepDetect
A responsive financial fraud detection frontend and analytics dashboard integrated with machine learning anomaly detection backends.
Financial fraud occurs at microsecond scales, requiring intuitive interfaces that present complex ML risk indicators clearly to fraud analysts. DeepDetect was developed as a modern, high-speed fraud analytics dashboard.
The application visualizes incoming transaction streams, anomaly likelihood scores, and risk classifications derived from trained classification models. Analysts can inspect transaction graph relationships, review flagged behavioral anomalies, and trigger automated account restrictions or secondary verification workflows.
highlights
- Real-time transaction anomaly monitoring and automated risk tier categorization
- Interactive data visualizations and inspection tooling for fraud investigation teams
- Modular TypeScript architecture ready for plug-and-play REST and WebSocket ML APIs
- TypeScript
- React
- Tailwind CSS
- REST APIs
- Data Visualization
- Chart.js