International Journal For Multidisciplinary Research

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AI-Driven Mobile Crime Reporting and Safety Map System for Barangay 649, Baseco Port Area

Author(s) Mr. Jastine Rhenie Ruiz Arenas, Mr. Jhon Vincent Sanchez, Vivien A. Agustin, Ronald B. Fernandez
Country Philippines
Abstract This study presents the development of an AI-driven mobile crime reporting and safety map system designed to improve crime reporting, emergency response, and public safety management in Barangay 649, Baseco Port Area, Manila. Traditional crime reporting methods within the community remain largely manual, resulting in delayed response, underreporting, and limited community participation. To address these issues, the researchers designed a mobile-based platform that enables residents to submit incident reports, upload multimedia evidence, send emergency SOS alerts, and anonymously report crimes using smartphones. The proposed system integrates GPS-based location tagging and real-time notification features to support faster coordination between residents, barangay officials, and police authorities. The study utilized a developmental research design following the Waterfall Software Development Life Cycle model. The system framework incorporates React Native for mobile development, Node.js and Express.js for backend services, MySQL for database management, TensorFlow.js for machine learning integration, and Google Maps Platform API for interactive mapping and safety visualization. A machine learning-based prediction module analyzes historical and real-time crime data to classify areas into low, medium, and high-risk categories displayed through an interactive safety heatmap. The proposed system aims to strengthen community engagement, improve reporting accessibility, support proactive crime prevention, and assist local authorities in making data-driven decisions for effective barangay-level public safety management.
Keywords Artificial Intelligence, Crime Reporting System, Mobile Application, Safety Heatmap, Machine Learning, Barangay Safety
Field Computer Applications
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-06-02
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.79567
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E-ISSN 2582-2160
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