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DeFraudify is a complete solution for detecting anomalous financial transactions and identifying customer-level risk, using supervised machine learning for fraud prediction. The system combines unsupervised anomaly detection, clustering, and supervised models to flag potentially fraudulent activity. It includes data preprocessing, behavioral feature extraction, multiple anomaly detection techniques (KMeans, DBSCAN, Isolation Forest, LOF), optional supervised models (Random Forest, XGBoost), and a Streamlit-based dashboard for visualization and reporting.
AI named DeFraudify in February 2026.