Adaptive Real-Time Fraud Detection with Concept Drift

Explore the rise of digital payments and the importance of adaptive AI in fraud detection. Addressing static model limitations, the methodology leverages financial datasets, advanced drift detection, and explainable AI tools like SHAP or LIME. Objectives include enhancing fraud identification, minimizing false metrics, and ensuring adaptability. Outcomes highlight a functioning prototype and improved trust through transparent AI design.