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AnomalyIQ

Fast, visual fraud detection for data that needs more than one signal.

FastAPI scikit-learn TensorFlow NetworkX Vanilla JS Chart.js Three.js jsPDF

AnomalyIQ is a full-stack anomaly and fraud intelligence demo that blends machine learning, rule-based signals, graph analysis, and explainable insights to surface suspicious activity and support investigations.


🚀 Update: More features set to release soon...


Architecture

AnomalyIQ architecture diagram

Highlights

  • Multiple signals combined into one risk score
  • Clear explanations, charts, and narratives for every case
  • Interactive workflows for upload, prediction, simulation, and investigation
  • Lightweight stack with a FastAPI backend and vanilla JavaScript frontend

Screenshots

🖥️ Upload & Training
Upload Dataset Training Progress
Column Configuration Test Dataset
AI Insight
📊 Analysis & Scoring
Dashboard Auditor Dashboard Technical
Predictor Predictor AI Narrative
Simulator
🔎 Investigation & Intelligence
3D Datapoints 3D Datapoints Anomalies
Fraud Ring Clusters Fraud Ring Accounts Involved
Org Blacklist

⭐ If you find this project useful or interesting, consider starring the repo.

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Explainable Financial Anomaly Detection and Financial Forensics

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