REDLINE AI - your fraud monitoring system

RedLine AI: Automated Fraud Detection & Analytics RedLine AI is a specialized security application designed to help financial analysts detect fraudulent activity within large transaction datasets. Built using Python and Streamlit, the platform replaces slow manual auditing with an automated risk-scoring engine that processes data in seconds. How It Works The system evaluates every transaction against a custom logic engine comprising three specific security checks: Merchant Risk: The app cross-references payees against a watchlist of high-risk entities. Transactions involving known money-laundering fronts (e.g., shell companies, offshore casinos) are immediately flagged with a high severity score. Geospatial Analysis: Using coordinate data, the system calculates the physical distance between the transaction location and the user’s registered office. Transactions occurring at improbable distances trigger a "Geo-Risk" alert. Velocity Tracking: The engine monitors the frequency of spending. Rapid sequences of high-value transfers—often a sign of account compromise—are detected and highlighted. Key Features Batch Processing: Analysts can upload raw CSV or Excel logs to instantly visualize risk distribution. The dashboard separates "Clean" data from "Critical" threats using clear visual indicators. Live Intercept Mode: Beyond historical data, the app features a real-time monitoring mode. It simulates a direct connection to a payment gateway, analyzing JSON transaction packets with sub-second latency to catch fraud as it occurs.