Open-source, real-time Anti-Money Laundering (AML) and Fraud Transaction Monitoring.
Welcome to an open-source transaction monitoring engine! This product is designed to simplify the definition and management of business rules while also offering a scalable infrastructure for rule execution and backtesting.
End-to-end KYC/AML compliance data analysis using mock datasets. Includes customer risk scoring, suspicious transaction flagging, and compliance reporting in Python (Pandas, Matplotlib).
ML model developed using European credit card transaction data to identify suspicious activities.
Rules based KYC Risk Scoring Dashboard -SQL and PowerBI. Automates customer classification into Low/Medium/High risk tiers using onboarding data.
Real-Time Insights into Transaction Activity with Scalable Streaming and Analysis.
An AI-powered fraud detection system that uses machine learning to detect suspicious financial transactions in real time. Features include interactive dashboards, secure authentication, and comprehensive reporting for fintech risk analysis.
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