Aryan_07

FraudLens AI – Machine Learning-Based Phishing URL Detection FraudLens AI is a machine learning-based system designed to identify potentially suspicious URLs by analyzing their structural and lexical characteristics. The project uses trained machine learning models to evaluate URL patterns and generate a risk score that helps users understand the potential level of risk. It also provides detection-related insights to make the prediction more interpretable. FraudLens AI includes an interactive Streamlit application where users can submit a URL and receive an analysis with a risk assessment and supporting indicators. The project focuses on improving awareness of phishing-related URL patterns through accessible, explainable, and data-driven analysis. Key Features: - Machine learning-based URL classification. - URL structural and lexical feature analysis. - Risk scoring and detection explanations. - Interactive Streamlit interface. - Model evaluation on external URL data.