gurramgagandeep-stack/finguard
Full-stack financial fraud detection platform built with Python, FastAPI, and React. Trains a Random Forest model on 284K+ transactions achieving 97%+ accuracy and ROC-AUC of 0.98. Features real-time risk scoring at <25ms latency, SMOTE-based class balancing, behavioral feature engineering, and Explainable AI outputs — with a live React monitoring.
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Mar 12, 2026
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