An Android-Based Crime Data Collection and Analytics: An Integrated Framework

In many developing countries, crime reporting is on the decline.It involves manual processes, and could be inaccessible, thereby reducing the responsiveness of law enforcement agencies and weakening public trust.Leveraging the widespread availability of mobile devices, the study presents an integrated Android-based intelligent crime reporting and analytic framework that incorporates geolocation, multimedia evidence captures, Naïve Bayes classification, and exponential smoothing forecasting for proactive public safety management.The application was developed using the Flutter framework to ensure a responsive and user-friendly interface, while backend functionalities were implemented using PHP and MySQL.The Naïve Bayes classifier achieved an accuracy of 88.6%, while exponential smoothing forecasting attained a Mean Absolute Percentage Error (MAPE) of 8.55%, indicating excellent predictive performance.Usability testing involving 130 participants demonstrated high acceptance, with 96% reporting ease of navigation and 92% highlighting the accuracy of GPSbased reporting.The system offers a scalable, user-friendly, and technologically solution for enhancing public security.