The primary objective of this project is to equip users with a powerful Machine Learning-driven application to proactively defend against phishing threats and identify malicious URLs. By leveraging a range of ML algorithms, including decision trees, Random Forests, MLP, SVM, XGBoost algorithm, and more, our robust model ensures accurate detection.
