UPI Fraud Detection Using Machine Learning

UPI Fraud Detection Using Machine Learning

Prof.D.B.Khadse1, Pranay Dhande2, Om Bokde2, Mrunmayee Chaudhari2, Apeksha Kawale2

Assistant Professor, Department of Computer Science and Engineering

Computer Science and Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, India

Abstract:

Unified Payments Interface (UPI) has revolutionized the digital payment ecosystem by providing a seamless and real-time platform for transactions. However, with the growing adoption of UPI, there has been a corresponding rise in fraudulent activities, posing significant challenges to the security and trustworthiness of the system. This project aims to develop a machine learning-based fraud detection system tailored for UPI transactions. By leveraging historical transaction data, the system will identify patterns indicative of fraudulent behavior and differentiate them from legitimate transactions.The primary objective of this project is to enhance the security of UPI transactions by reducing false positives and accurately identifying fraudulent transactions. The proposed solution aims to assist financial institutions in minimizing financial losses and ensuring a safe digital payment experience for users.

Keywords:

l  UPI( Unified Payment Interface)

l  Classification Algorithm

l  Machine Learning

l  Fraud Detection

l  Data Preprocessing

l  Natural Language Processing