TrackP: Finding Missing People Using AI/ML

An important social issue is the rising number of missing people around the globe. Conventional tracking methods are often slow, resource-intensive, and constrained by geographic limitations This research introduces TrackP, a state-of-the-art solution leveraging learning artificial intelligence and machine learning to streamline missing person investigations. By analyzing surveillance footage and image datasets, TrackP accurately identifies facial features and patterns using the advanced computer vision techniques. The system integrates robust data preprocessing and feature selection methods to enhance recognition precision. Extensive testing has demonstrated TrackP’s efficiency, significantly improving detection accuracy and response times, thereby addressing critical methods in law enforcement and public safety.