UPI Fraud Detection Using Machine Learning

UPI Fraud Detection Using Machine Learning is a project aimed at identifying and preventing fraudulent activities in UPI (Unified Payments Interface) transactions. With the increasing popularity of digital payments, ensuring the security of users and their financial transactions has become crucial. This project leverages the power of machine learning algorithms to analyze that transaction is fraud or not fraud.

The solution involves collecting and pre-processing large datasets of UPI transactions to identify key features associated with genuine and fraudulent activities. By using different machine learning algorithms we can determine the fraud activities and also help save customer, clients and regular innocent people to get scammed.

Domain : Machine Learning Project

Tech Used:

Front End : html, css & js

Back End : python

Datasets : csv

Project Includes :

1. PPT

2. Synopsis

3. Report

4. Project Code

5. Base Research Papers

6. Video Tutorials

   
   

Reach out us for Project Source Code and documents.