LOCAL GOVERNMENT UNIT 4: EVENT MANAGEMENT AND COMMUNITY ENGAGEMENT SYSTEM (OPTIMIZED PLANNING, EXECUTION, CITIZEN PARTICIPATION WITH AI SCHEDULE ASSISTANT)

Abstract

Technological advancement and digital transformation across government and private sectors have underscored the importance of effective event management and active citizen participation as key components of societal progress. Manual event planning continues to pose challenges, including delayed schedules, inefficient coordination, and lack of timely information, all of which hinder community involvement. This study proposes the development of a smart, responsive Event Management and Community Engagement System to address these inefficiencies and promote broader civic engagement through digital innovation. The system was developed using an Agile approach to support iterative progress and user-centered design. Core modules included tools for event planning, task assignment, resource tracking, and venue management. Additional features for community engagement, such as polls, feedback forms, and real-time chat channels, were integrated to ensure citizen participation. Data collected from user interactions were processed using machine learning algorithms to improve future event planning. The system was deployed in a cloud-based environment and optimized for mobile use to ensure accessibility and usability for a wide range of end-users. The implementation of the Event Management and Community Engagement System significantly improved event coordination at the barangay level. The AI Schedule Assistant optimized timelines and resource allocation, ensuring smoother planning and execution. Community members received timely notifications and participated through interactive tools such as polls and feedback forms, which increased transparency and engagement. The system’s dashboard and modeling features also enabled organizers to evaluate events from planning to post-event analysis, offering actionable insights for continuous improvement. The findings highlight the system’s role in enhancing community event management through real-time data analytics, risk management, and cost optimization. The integration of AI and real-time analytics introduced a data-driven approach that supported strategic planning and operational efficiency. In data-intensive and dynamic local environments, such technology provided a competitive edge by fostering sustained community involvement and value-driven governance. The system demonstrates how analytics-enabled platforms can serve as a foundation for scalable, transparent, and participatory local government operations.