COGNITIVE CRIME ANALYSIS SYSTEM

Abstract: The increasing rate of crime and the rapid growth of digital technologies have created a need for intelligent systems that can assist law enforcement agencies in crime analysis and prevention. Traditional methods of crime investigation mainly rely on manual record management and human observation, which are time-consuming and inefficient when handling large volumes of data. The proposed Cognitive Crime Analysis System utilizes Artificial Intelligence, Machine Learning, and Data Analytics to process and analyze crime-related information from multiple sources such as police records, surveillance systems, and public reports. The system identifies crime patterns, predicts potential crime hotspots, and detects suspicious activities in real time. In addition, visualization dashboards and heatmaps are provided for efficient monitoring and decision-making. The project demonstrates the practical application of AI-driven technologies for improving public safety, reducing manual effort, and supporting proactive policing.