Design and development of mobile application for assessing crime risk for Investigation Officer (IO)

This paper presents the design and development of the Integrated Crime Risk Assessment System (ICRAS), a mobile based, AI driven tool tailored specifically for Investigation Officers (IOs) in Malaysia. Recognizing the challenges faced by law enforcement personnel in dynamic and resource constrained environments, this study proposes a novel mobile application that integrates real time analytics with field operations, empowering IOs to assess and manage crime risk proactively. ICRAS is the first system of its kind in Malaysia, utilizing Light Gradient Boosting Machine (LightGBM) models for predictive crime risk assessment and geospatial hotspot mapping to visualize high risk areas. By seamlessly combining predictive analytics with field-based decision making, ICRAS enhances situational awareness and improves operational efficiency. This paper outlines the methodological framework for the development of ICRAS, analyses its performance, and discusses its potential to transform conventional policing into a more proactive, intelligence led model. Through extensive testing and user feedback, the results demonstrate significant improvements in decision making efficiency, resource allocation, and officer satisfaction. The research underscores the application’s relevance in modernizing law enforcement tools and its alignment with national strategies to improve public safety.