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