SMART MAINTENANCE SYSTEM WITH QR CODE TRACKING

Abstract

This report details the development and implementation of a Smart Maintenance System with QR Code Tracking, a project aimed at improving

operational efficiency in businesses that operate across multiple locations. As the front- end developer, my role primarily focused on creating the user interface and ensuring

the system was intuitive, responsive, and efficient for technicians and administrators. The solution addresses the challenges posed by fragmented maintenance management, such as inefficient reporting, delayed scheduling, and the lack of effective communication between technicians, managers, and clients. The system integrates various functionalities including user role management, client and store registration, automated maintenance scheduling, and real-time maintenance reporting via QR code scanning. Technicians scan a store’s unique QR code to access store-specific data and submit maintenance reports, enhancing transparency and ensuring accurate record-keeping. Administrators can easily track maintenance schedules, oversee technician performance, and manage customer feedback, all through a streamlined web-based interface. The development utilized ReactJS and React Native for the front-end to ensure smooth user interaction on both web and mobile platforms. The system’s flexibility allows it to be used across various devices, ensuring that technicians can complete their tasks efficiently, even in areas with poor connectivity. Testing was conducted on various functionalities, including QR code scanning, real-time reporting, and automated scheduling, to ensure the system operates seamlessly across devices. This project demonstrates how integrating digital solutions can improve the efficiency and accuracy of maintenance management, reduce operational delays, and

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enhance customer satisfaction. By transitioning from a manual to a digital approach, the system provides businesses with an automated, transparent, and scalable solution to handle maintenance across multiple locations.