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🚀 OVERVIEW — REAL-TIME FINANCIAL FRAUD DETECTION SYSTEM
This system is designed to detect financial fraud in real time, combining
Machine Learning, Rule Engine, Streaming Data Pipeline, and Automated Model Retraining.
The entire pipeline operates continuously, end-to-end, and provides a live monitoring dashboard for analysts and risk teams.

🎯 SYSTEM OBJECTIVES
Detect fraudulent transactions immediately as they arrive.
Reduce financial losses through early warning alerts.
Improve accuracy by combining ML-based fraud scoring with Rule Engine signals.
Automatically collect new data and retrain the model on a scheduled basis.
Maintain a structured model versioning workflow and auto-promote the best-performing model into production.
Provide full visibility into the pipeline through a Streamlit real-time dashboard.