metadata

title: FraudTest
emoji: 🛡️
colorFrom: blue
colorTo: indigo
sdk: docker
sdk_version: latest
app_file: app.py
pinned: false

FraudTest - Advanced Fraud Detection

This application uses machine learning to detect fraudulent activities in various contexts. It provides real-time analysis and visual reports on potential fraud risks.

Features

Website URL scanning for potential fraud indicators
Visual risk assessment dashboard
Detailed feature analysis for transparent decision making
User-friendly interface with interactive visualizations

How to Use

Enter a website URL or transaction details in the input field
Click "Analyze" to run the fraud detection model
View the risk assessment and detailed explanation of factors contributing to the result

Technical Details

This application uses a custom-trained machine learning model to detect fraud patterns. The backend is built with Flask, and the frontend uses modern web technologies for an interactive user experience.

About

This project was developed as part of a Final Year Project focusing on fraud detection and prevention technologies.