fraud-detection-system and Fraud_Detection_MLOps

Fraud_Detection_MLOps
24
Experimental
Maintenance 2/25
Adoption 7/25
Maturity 15/25
Community 18/25
Maintenance 2/25
Adoption 2/25
Maturity 7/25
Community 13/25
Stars: 25
Forks: 13
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 2
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

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.

financial-fraud risk-management transaction-monitoring e-commerce-security banking-operations

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.

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