• Varsha R
• Shashidhar Kini K

We detect credit card fraud using machine learning models by analyzing transactional data. Algorithms like Support Vector Machines (SVM) and Gradient Boosting are evaluated using metrics like precision, recall, and F1-score. The results show improved fraud detection accuracy, providing valuable insights for financial institutions and customers. This approach helps in real-time risk assessment, pattern recognition, and fraud mitigation, making it a reliable tool for combating fraudulent activities in the digital finance landscape.

Credit Card Fraud Detection, SVM, Gradient Boosting, Machine Learning.

"ML-BASED CREDIT CARD FRAUD DETECTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.990-993, July-2025, Available :http://www.jetir.org/papers/JETIRGX06184.pdf

"ML-BASED CREDIT CARD FRAUD DETECTION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp990-993, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06184.pdf