Skip to content

Welcome to Payment Fraud Detection Docs

img
Online Payment Fraud Detection System

Fraud Detection Python XGBoost AUC ROC License

A Comprehensive Study and Application

Dive into a groundbreaking exploration of fraud detection, where technology meets real-world application. Over two months of in-depth research and development have culminated in a robust system that tackles fraud across diverse domains.

Start Application


Fraud Prevention in online transaction

This web application helps users detect fraudulent activities in online payment transactions using advanced machine learning models. With an intuitive interface, users can input transaction details and quickly receive predictions about the likelihood of fraud. Whether you're an individual user or a financial professional, this tool provides an easy and effective way to assess transaction risks.

The Online Payment Fraud Detection Application leverages cutting-edge machine learning techniques, including Principal Component Analysis (PCA) and XGBoost, to offer accurate fraud predictions. By reducing the number of input features through dimensionality reduction, the application provides a streamlined user experience without compromising accuracy.