Criminal Investigation Tracker with Suspect Prediction Using Facial Recognition

Abstract This paper presents a Criminal Investigation Tracker with Suspect Prediction Using Facial Recognition, aimed at enhancing the efficiency and accuracy of criminal investigations. The system combines a case tracking platform with facial recognition technology to assist law enforcement in identifying suspects. By matching facial features from surveillance footage or images against a database of known individuals, the system can suggest potential suspects. It also allows investigators to log and update case details in real time. The integration of facial recognition and predictive analysis improves case resolution speed, reduces manual effort, and supports data-driven decision-making in criminal investigations. Key Words: Investigation, Recognition, Prediction, Surveillance, Tracking, Enforcement, Analytics, Detection, AI, Vision