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    This project develops machine learning and anomaly detection models to identify fraudulent credit card transactions and generate transaction-level risk scores. Multiple approaches are compared and …

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    An explainable fraud detection and risk evaluation system that combines machine learning, SHAP-based feature attribution, and large language models to generate structured risk assessment reports.

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  5. Risk-Review-System Risk-Review-System Public

    An explainable fraud detection and risk evaluation system that combines machine learning, SHAP-based feature attribution, and large language models to identify suspicious financial transactions and…