sunnynguyen-ai/fraud-detection-system
Real-time fraud detection system using ensemble ML models, featuring streaming data processing, explainable AI with SHAP, and production-ready deployment with FastAPI and Docker.
This system helps financial institutions, e-commerce platforms, or banks automatically detect fraudulent transactions in real time. It takes raw transaction data as input and immediately assesses the risk, outputting a fraud probability and risk level. This tool is designed for fraud analysts, risk managers, and operations teams who need to prevent financial losses and ensure secure transactions.
No commits in the last 6 months.
Use this if you need to rapidly identify suspicious financial activities as they occur, reduce false positives, and understand why a transaction was flagged as potentially fraudulent.
Not ideal if your organization handles a very low volume of transactions or if you require an offline, batch-only fraud detection method without real-time responsiveness.
Stars
25
Forks
13
Language
Python
License
MIT
Category
Last pushed
Oct 12, 2025
Commits (30d)
0
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