CREDIT CARD FRAUD DETECTION

CREDIT CARD FRAUD DETECTION

MAMATHA H S 1, Dr GEETHA M 2

[1]Student, Department of MCA, BIET, Davangere

[ 2]Associate Professor, Department of MCA, BIET, Davangere

ABSTRACT

By preventing unauthorized charges, the "Credit Card Fraud Detection" study seeks to increase the security of credit card transactions. Using data science and machine learning approaches, it assists banks and credit card firms in identifying and preventing fraud. The objective is to develop models that, by analyzing historical data, can distinguish between authentic and fraudulent transactions. We can develop real-time fraud detection systems by examining trends in past fraud incidents. In order to provide users with a safer financial environment, this project aims to improve fraud detection accuracy and decrease false alarms. The technology uses cutting-edge modeling approaches to precisely identify fraudulent transactions and reduce errors. It predicts possible fraud using predictive analytics, enabling banks to take swift action to stop it. This real-time detection improves security and gives financial institutions and cardholders peace of mind.

Keyword: Credit card fraud detection, Data Science, machine learning, real-time detection, predictive analytics, fraud prevention.