Fraud Detection Demo

Upload transaction data and analyze fraud risk using my XGBoost-based fraud detection system deployed with FastAPI and Docker.

XGBoost ModelFastAPI + DockerBatch Inference

ROC-AUC: 0.997•F1: 0.861•50k+ Batch Predictions Supported

Analyze Single Transaction

Enter transaction details manually and send one transaction to the deployed FastAPI backend.

Upload Transaction Data

CSV is sent to external API. Predictions are generated by the deployed FastAPI backend using an XGBoost model trained on over 1.2 million transactions.

Drop CSV file here

or click to browse (max 10MB)