UPI Fraud Detection Using Machine Learning

As technology keeps advancing, UPI has become the go-to method for making payments, whether big or small, thanks to how easy it is to use. But with this popularity comes a downside—there’s been a noticeable uptick in fraud. In this paper, we’re diving into a new way to tackle UPI fraud by building a Machine Learningbased detection system. What we’re doing is blending rule-based strategies with machine learning to make UPI transactions safer and more reliable. By using anomaly detection algorithms, we’re able to spot anything fishy, and our approach focuses on both how transactions are happening and how users behave. The idea is to catch fraud in real-time and stop it before it causes any damage. By combining traditional rule-based methods with the power of machine learning, we’re aiming to make UPI transactions more secure, giving users peace of mind and increasing their trust in digital payments.