FinSentinel is a real-time event-driven financial fraud detection platform built as part of Hack NITR 7.0. It processes streaming transaction data, detects anomalies at high throughput, and generates contextual insights using machine learning and AI-assisted reasoning.
🚀 Designed for high-velocity streams where delays introduce risk — FinSentinel flags, explains, and reports suspicious activity in milliseconds. :contentReference[oaicite:1]{index=1}
- Real-Time Streaming — Ingests and scores transaction events with low latency.
- Machine Learning-Based Detection — Uses unsupervised models (e.g., isolation forests) to find statistical outliers.
- AI-Assisted Investigation — Generates human-readable suspicious activity reports.
- Full-Stack Architecture — Includes backend APIs, frontend UI, database support, and operational tooling.
- Modular & Extensible — Supports future models, streaming sources, and agent enhancements.