This tool leverages the Google Gemini API to generate detailed vulnerability summaries for each scanned port. It enhances reconnaissance speed and depth during penetration testing or network analysis.

A machine learning model using decision trees to predict heart attack risk based on clinical indicators. Achieved a consistent 78% accuracy through randomized test sets and repeated classifier training.