🎯 Platform Overview

Real-time fraud detection system with ML scoring, rules engine, and drift monitoring. Built for enterprise-scale transaction analysis.

Python scikit-learn FastAPI Streamlit Docker Random Forest

⚙️ Features

🤖 ML Classifier

Random Forest model with 10 engineered features for real-time scoring

📏 Rules Engine

4 configurable business rules for domain-specific fraud patterns

📊 Drift Detection

PSI-based drift monitoring to catch model degradation

⚡ Real-time API

FastAPI endpoints for sub-100ms scoring decisions

📍 Location

Windows Dell: C:\Users\tommi\clawd\temp_fraud\

Status: ✅ Active Development

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