AI ENHANCED CRIME PREDICTION FOR PUBLIC SAFTY OPTIMIZATION

Abstract

The project seeks to use Al-enhanced crime prediction analytics for public safety optimization purposes through real-time reporting tools that increase responder effectiveness and safety protection. Users can access the platform via a website where they can file reports and generate live security warnings in addition to obtaining safety guidelines and officers maintain control over crime data alongside patrol operations and statistical analysis. Crime-prone areas and safe citizen routes are predicted through the implementation of machine learning algorithms trained on past crime records which update their predictions based on expected time-of- day patterns. This initiative solves communication problems between citizens and officers so law enforcement can take proactive decisions based on crime data. The platform supports a better understanding of current conditions through its process while also helping law enforcement optimize their resources and providing residents with security tools. The team prepares to add a mobile application to this platform because it will enhance user access and engagement