Crime Hotspots Mapping and FIR Data Interface

The Paper presents a comprehensive crime analysis and prediction system that combines data integration, preprocessing and interactive visualization to support law enforcement agencies in understanding and combating criminal activities effectively. The system aggregates diverse data sources, including crime records, historical crime trends, employing rigorous data preprocessing techniques to ensure data quality. Spatial analysis methodologies are applied to detect crime hotspots, with a keen focus on temporal factors such as date, time, and seasonality, offering an intricate spatiotemporal understanding of criminal patterns. These insights are presented through an interactive mapping interface with color-coded representations, providing a visually intuitive platform for end-users. The user interface is meticulously designed, offering a user-friendly experience for law enforcement professionals and analysts. Robust security measures are in place to protect sensitive data and ensure compliance with privacy regulations. Continuous refinement is a core aspect of the system, with feedback mechanisms enabling iterative improvements. This system empowers law enforcement agencies with data-driven decision-making capabilities, efficient resource allocation, and proactive crime prevention, ultimately fostering safer communities.