This project aims to enhance public safety by analyzing historical crime data from San Francisco. It helps law enforcement identify crime patterns and predict future incidents. By leveraging data-driven insights, it supports proactive policing and better resource allocation. The system focuses on detecting high-risk areas to prevent crimes effectively. It uses advanced analytics to tackle urban security challenges using data mining techniques.