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The rapid adoption of digital payment systems, particularly Unified Payments Interface (UPI), has led to an increase in cyber threats and fraudulent activities.This project focuses on developing a robust fraud detection system for UPI transactions using machine learning techniques.The goal is to enhance the security of UPI transactions and protect users from financial losses.The swift integration of digital payment systems, especially the Unified Payments Interface (UPI), has revolutionized the financial landscape, offering unprecedented convenience and accessibility.However, this rapid adoption has also precipitated a surge in cyber threats and fraudulent activities, posing significant risks to both users and financial institutions.This project aims to develop a comprehensive fraud detection system specifically tailored for UPI transactions, leveraging advanced machine learning techniques.
A Thu, study studied this question.