fraud-detection-system and Fraud_Detection_MLOps
About fraud-detection-system
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.
About Fraud_Detection_MLOps
MohitGupta0123/Fraud_Detection_MLOps
End-to-end Fraud Detection MLOps pipeline integrating MLflow, FastAPI, Streamlit, Docker, Kubernetes, Prometheus, and Grafana for real-time fraud prediction, experiment tracking, and monitoring.
Scores updated daily from GitHub, PyPI, and npm data. How scores work