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₹299
AI-Powered Phishing URL Detector
Machine learning model that analyzes URL lexical features to detect zero-day phishing attacks.
Security Scanner
This project acts as a security guard for your browser. It uses machine learning to analyze the URL and website structure of links sent via email. If it detects a fake login page trying to steal your password, it blocks the site immediately.
Why is this project unique?
• It completely automates manual workflows.
• It provides a beautiful, clean interface that anyone can use immediately.
• It is built with standard tools, making it very easy to defend in a Viva evaluation.
Complete, tested project code with run.bat (Windows) and run.sh (Mac/Linux). Double-click to launch — no manual setup required.
30+-page Word document formatted to university standards. Print, bind, and submit — includes Literature Survey, System Architecture, UML Diagrams, Output Screenshots, Future Scope.
15–20 professionally designed slides with exact speaker notes — we tell you word-for-word what to say to the examiner.
After downloading, follow these steps to get running in under 5 minutes on any computer.
Working Source Code
1-click launcher included
30+-Page IEEE Black Book
Print-ready .docx format
Viva Defense PPT
Speaker notes included
25 Viva Q&A Answers
Examiner-tested questions
Instant ZIP Download
Delivered immediately
Extract the ZIP
Run on Windows
run.batRun on Mac / Linux
bash run.shOpen in Browser
http://localhost:3000Prepare for Viva
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