AI-Based Cyber Fraud Detection System

Abstract: The need for this project is to develop an AI-based system that is capable of identifying cyber fraud, credit card fraud, UPI fraud, and online payment fraud, among others. The proposed system would utilize machine learning techniques that analyze user behavior and transaction patterns with a view to identifying any anomaly and something that is suspect. Indeed, this system is expected to keep track of all fraud activities that occur instantly, hence all activity that contradicts the usual activity of a particular user might be identified by this system instantly. The system proposed involves monitoring all digital transaction aspects related to credit card payments, UPI, and all online transaction activity, among others. Moreover, this system has the capability of learning from data, hence its accuracy improves with time due to its behavioral and pattern recognition feature. The end result of this project is expected to be a quick, reliable, and accurate system that offers instant notifications that cut down losses and restrict all unauthorized transactions instantly, hence making digital money much more secure, and users can trust financial institutions more.

Keywords: Cyber Fraud, Real-Time Transaction Monitoring, Machine Learning, Anomaly Detection, Digital Payments.