ARTIFICIAL INTELLIGENCE FOR CREDIT CARD FRAUD DETECTION

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Explore AI's role in fraud detection, focusing on transaction datasets, ADASYN balancing, and XGBoost models. Analyse performance metrics like ROC-AUC and F1 scores, while addressing challenges such as data imbalance and ethical concerns. Review deployment strategies, cloud infrastructure scalability, and future advancements for effective fraud mitigation solutions.