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Project Overview

A cybersecurity browser extension designed to protect users from malicious websites using Machine Learning and JavaScript. The tool analyzes URLs in real-time to detect phishing, malware, and other online threats

Technologies Used

Machine Learning – Trained a model to classify websites as safe or malicious

JavaScript – Developed the extension’s frontend and backend functionalities

Chrome Extension API – Integrated real-time URL scanning and alerts

Python (for ML Model Training) – Used for data preprocessing and model training

How It Works

The extension monitors website URLs as the user browses

The ML model analyzes the URL, content, and metadata

If a threat is detected, the extension warns the user before accessing the site

The system can block harmful sites or provide additional security insights

This tool enhances online security by preventing users from falling victim to phishing and malware attacks

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