CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING (KEY IJP************398)

• Mr. D.s Jaybhay

Abstract

The objective of this project is to develop a system that effectively detects fraudulent credit card transactions using machine learning techniques, aiming to prevent unauthorized usage of customers accounts by fraudsters. With the global rise in credit card fraud, urgent measures are needed to combat this issue and safeguard customer finances. Implementing robust fraud detection methods can ensure that customers are protected from unauthorized charges, with the goal of recovering any lost funds and preventing them from being charged for goods or services they did not purchase. The project will utilize three machine learning algorithms - Random Forest, Support Vector Machines (SVM), and Logistic Regression - applied to a credit card transaction dataset to identify and flag suspicious transactions accurately and efficiently.