Enhancing Community Project Effectiveness: A Real-Time Monitoring and Evaluation Framework with Rule-Based Algorithms, Advanced Encryption Standard, and Content-Based Filtering

This study addresses inefficiencies in the City Planning and Development Office's manual processes for monitoring and evaluating project proposals from 80 barangays. These processes are time-consuming, error-prone, and delay decision-making. To address these issues, this study proposes an ICT-based system to automate real-time monitoring, evaluation, and communication, improving transparency, accountability, and efficiency. The system employs a Rule-Based Algorithm to assess project performance, identify issues, and suggest corrective actions. Advanced Encryption Standard (AES) enhances data security, protecting sensitive project information. Additionally, Content-Based Filtering analyzes past proposals and trends to recommend projects that align with community needs, aiding barangay officials in informed decision-making. Key features include automated proposal consolidation, real-time project tracking, report generation, and suggestions for resolving implementation issues. It also integrates a secure messaging platform for efficient communication between barangay officials and the City Planning and Development Office. This improves coordination and streamlines formerly paper-based workflows. Aligned with Sustainable Development Goals (SDGs) for innovation, sustainable cities, and responsible consumption, the system provides a scalable and secure solution to enhance local governance. Agile methodology ensures continuous improvement, while ISO 25010 standards guide quality assurance. By automating submission, tracking, and evaluation, the system reduces inefficiencies and enhances resource allocation and project management within the City Planning and Development Office. It aims to transform traditional practices, fostering more sustainable and effective governance.