Enhancing the Barangay Information System by Integrating Geolocation Technology and Tagalog Chatbot using NLP Algorithm for Efficient Community Engagement and Service

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Joseph Allen A. Cuevas, Alexis Jermaine Gonzaga, Samuel Reign O. Roque, Criselle J. Centeno, Joseph Darwin Co

Abstract

This research aims to address the need for improved efficiency and accessibility of a local government constitution which is the barangay services in the Philippines through the integration of an English – Tagalog Chatbot using NLP Algorithm into a Progressive Web-Application based Barangay Information System and Geolocation Technology which detects the location of the affected residents and nearest evacuation centers. The specific objectives include developing an information system for efficient resident data management, training an AI chatbot to handle both English and Tagalog inquiries, and integrating geolocation technology for disaster risk reduction monitoring. The study’s significance lies in enhancing the service provided by barangays, which are often the most accessible government agencies to the public. The system benefits the public by increasing transparency and providing convenient access to services, barangay officials by streamlining transactions and reducing their workload and future researchers by laying the groundwork for further technological advancements in governance. The overall acceptance of the system based on user’s feedback falls within the satisfactory category, which indicates its potential to improve barangay operations. The Barangay Information System, as demonstrated in this study, efficiently manages resident information, streamlines the delivery of certificates, enhances user experience, and ultimately contributes to more effective and efficient community service delivery.

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