Credit Card Fraud Prevention with Advanced Machine Learning Techniques

Although credit card transactions are already commonplace in online shopping, the increase in fraud reports highlights how difficult it is to identify and stop these illegal acts. A subfield of artificial intelligence (AI), machine learning (ML) has become a flexible solution in many different domains. The use of decision trees, naive bayes, and logistic regression for quick fraud detection is the specific focus of this study. Furthermore, it highlights the development of a web application to facilitate real-time monitoring, improving the capacity to quickly detect and deal with fraudulent activity. By incorporating these algorithms within the online platform, users are given the ability to actively monitor transactions, strengthening security protocols against fraudulent activity.