SIH2026 || TEAM FORGE || Blockchain & Cybersecurity || SIH26184

🚨 CASH-TRAP | An Intelligent System for Real-Time Financial Fraud Detection and Prevention Presented by Team FORGE 2026 for the Smart India Hackathon (SIH). In this presentation, we introduce CASH-TRAP, a predictive cybercrime intervention framework designed to identify the probable cash-out location of suspected mule accounts before the fraudulent withdrawal takes place. The solution brings together transaction patterns, mule-account relationships, cybercrime complaints, device/SIM intelligence, graph analytics, and geospatial information to create a unified risk-analysis system. 🔹 What CASH-TRAP aims to achieve: • Predict fraudulent cash-out locations • Detect suspicious mule-account networks • Generate real-time risk intelligence • Provide GIS-based risk visualization • Enable faster intervention and law-enforcement response • Support evidence-ready investigation • Help reduce financial losses caused by cyber fraud ⚙️ Technologies used: React.js | Tailwind CSS | Node.js | Redis | WebSockets | Neo4j | PostgreSQL | PostGIS | PyTorch | T-GCN | Mapbox GL | OSRM The proposed workflow connects citizen complaints through the 1930 system with financial, graph, device, and geospatial intelligence to move from reactive fraud detection toward predictive fraud prevention. 👥 Team: FORGE 2026 🏆 Event: Smart India Hackathon (SIH) Watch the complete presentation to learn about our problem statement, proposed solution, technical approach, feasibility, viability, impact, and future potential. If you found our idea interesting, don't forget to Like 👍 | Share ↗️ | Subscribe 🔔