SafeGuard-Web-Protector

📘 Description

SafeGuard-Web-Protector is a browser-based Chrome Extension that leverages Machine Learning to classify URLs as malicious or benign in real time. It uses a Naive Bayes model trained on over 1000 URLs and integrates with Google Safe Browsing & VirusTotal APIs to enhance detection accuracy. Child Mode enforces safe browsing by blocking NSFW and harmful websites for younger users.

🚀 Key Features

• ML-based malicious URL classification using Naive Bayes
• Integrated VirusTotal and Google Safe Browsing for real-time threat checks
• Child Mode to block adult and inappropriate content
• Popup alerts, threat labels, and classification score display

🧰 Tech Stack & Architecture

• Frontend: HTML, CSS, JavaScript (Chrome Extension APIs)
• Backend Model: Python, scikit-learn (Naive Bayes)
• APIs Used: Google Safe Browsing API, VirusTotal Public API
• Deployment: Chrome Web Store Package (.crx)

Flowchart: ML Classifier → API Scan → Decision Handler → Popup UI

🧠 Challenges & Resolutions

• 💡 Optimizing ML model for fast predictions inside extension
• ✅ Used lightweight Naive Bayes and converted it to JSON model
• 💡 Handling asynchronous API responses
• ✅ Applied Promise chaining and fallback mechanism

💼 Job Roles Aligned

• Cybersecurity Product Developer
• Secure Software Engineer
• Extension & Threat Detection Developer

🌐 Demo & Source Code

Live Demo GitHub Repo