Smart Resident Management System

Cham, Wei Yang (2025) Smart Resident Management System. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

The Smart Resident Management System project mainly aims to transform traditional residential community management by leveraging advanced technologies to address inefficiencies of answering resident and improve communication between resident and management, to ensure the facility booking and report submission are accessibility, and operational workflows. This system tackles persistent challenges such as delayed responses to resident inquiries, manual and time-consuming facility booking processes, and inadequate feedback mechanisms. The scope of the project encompasses modules like AI chatbot integration for real-time assistance, online facility booking for streamlined scheduling, and a feedback management system for transparent issue reporting. These modules collectively enhance the efficiency of management operations while fostering a more resident-centric experience. The development followed the Agile Scrum methodology, which enabled iterative progress, frequent feedback incorporation, and flexibility to adapt to evolving requirements. Techniques like passive user observation, brainstorming sessions, and role-playing scenarios were employed during the requirement analysis phase to ensure the system aligned with user needs. Key technologies, including Seq2Seq models for the AI chatbot were implemented to deliver accurate responses and actionable insights. Rigorous testing, covering functional and non-functional criteria, ensured the system's robustness. Testing focused on assessing the chatbot's contextual accuracy, the facility booking module's reliability, and the feedback module's effectiveness. The results demonstrated a significant reduction in response times, seamless booking experiences, and enhanced feedback resolution rates. Despite the constraints of time, resources, and user adoption challenges, the project achieved its objectives, offering scalable solutions for residential community management. Future improvements will focus on multilingual chatbot support, predictive analytics, and offline functionality to extend accessibility and performance. This system redefines residential management by fostering transparency, efficiency, and satisfaction, providing a model for modernizing community services.