Date of Publication :17th May 2024

Abstract:Urban Sentinel presents a comprehensive data-driven approach to analyzing crime dynamics in urban areas. Leveraging diverse datasets, including crime reports, demographic information, and spatial data, the system identifies trends, patterns, and victim profiles. Advanced analytical techniques, including machine learning algorithms and geospatial analysis, provide deeper insights into crime dynamics. Interactive visualization tools empower stakeholders to explore analysis findings dynamically, facilitating data-driven decision-making and proactive crime prevention strategies. "Urban Sentinel" represents a valuable resource for urban planners, law enforcement agencies, and policymakers in addressing complex urban crime challenges.

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