Phishing URL Detection

I developed a Flask-based web application that predicts whether a URL is phishing or safe. The system integrates a scikit-learn machine learning model to analyze URL features and generate a risk score. A simple and intuitive web interface allows users to submit URLs and instantly receive a clear safe/unsafe status along with a confidence percentage. The project includes the full Flask setup, machine learning components, and demo screenshots to demonstrate complete end-to-end functionality.

Tools & Technologies: Python, Flask, Scikit-learn, Pandas, NumPy, Joblib, HTML/CSS, and Jupyter Notebook.