Phishing Auto Checker

🔐 Phishing Website Detection using URL Analysis and Machine Learning

Contributors:
Prince Raj MTech AI IIT ROPAR
Jatin Mudiraj MTech AI IIT ROPAR

This project presents a lightweight, real-time phishing URL detection system powered by machine learning and integrated into an extension.

📌 Executive Summary
Phishing websites trick users into revealing personal information by mimicking legitimate sites. Traditional detection methods are often slow and resource-heavy. Our solution analyzes only the URL, using machine learning models to detect phishing attempts efficiently and accurately—then delivers real-time alerts via a browser extension.

🎯 Objectives
Detect phishing websites using URL-based features.
Build an extension to alert users in real-time.
Ensure fast, lightweight, and user-friendly phishing detection.