The objective is to develop a phishing detection system that analyzes website features and assigns a trust rating score to help users identify malicious websites and prevent cyber fraud.
Collect phishing and legitimate website datasets Extract URL and domain-based features Preprocess and clean dataset Train machine learning classification model Develop trust scoring algorithm Display the website's trust level to users Design browser-based or web interface Evaluate detection accuracy Test system using real-world URLs Document findings and performance metrics
