fraud-detection / README.md
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2026-06-05: deploy fraud detection dashboard (LightGBM + GNN + autoencoder, SHAP, drift, live scoring)
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metadata
title: Real-Time Fraud Detection
emoji: 🛡️
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.50.0
app_file: app.py
pinned: false
license: mit

🛡️ Real-Time Credit Card Fraud Detection

End-to-end fraud detection on the Sparkov dataset (1.85M transactions, ~0.5% fraud):

  • Feature engineering — leakage-safe velocity, behavioral, and geo features
  • Imbalance study — cost-sensitive vs SMOTE vs undersampling (honest comparison)
  • Three models — LightGBM (PR-AUC 0.97) · GraphSAGE GNN · Autoencoder
  • SHAP explainability — per-transaction reasons for compliance
  • Concept-drift monitoring — PSI early warning
  • Real-time scoring — single-digit-millisecond latency

Source: github.com/Fikri645/fraud-detection

Built by Muhammad Fikri Wahidin.