FindIt: Simplifying Campus Item Recovery with AIDriven Lost and Found App
| dc.contributor.author | Ngu Keh Cong | |
| dc.date.accessioned | 2026-04-17T07:52:32Z | |
| dc.date.issued | 2025 | |
| dc.description | This project presents "FindIt," an AI-driven mobile and web-based application designed to address inefficiencies in item recovery within university campuses. The system automates the matching of lost and found items by leveraging image matching technology, which can significantly reduce manual effort of both admin and students, and improving recovery rates. Waterfall model is applied in this project to guide development, and incorporating systematic phases such as requirements gathering, design, implementation, testing, and maintenance. To understand the critical issues with existing informal channels such as fragmented reporting processes and lack of timely update, and the suitable features to be included in the project, user feedback is collected via surveys in Google Form. FindIt is designed to integrate a robust feature set tailored for university students, likes AI-based image matching, real-time notifications, and status tracking of reported items are included in the mobile application. An administrator-focused web interface is also designed to ensure an efficient management of claims and user accounts. The system's effectiveness was evaluated through functional and usability testing to highlights significant improvements in item recovery efficiency, user satisfaction, and system reliability. This project contributes to the application of AI in practical, particularly in improving campus experiences. | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/373 | |
| dc.language.iso | English | |
| dc.publisher | UNIVERSITI MALAYSIA SARAWAK | |
| dc.relation.ispartofseries | Faculty of Computer Science and Information Technology | |
| dc.title | FindIt: Simplifying Campus Item Recovery with AIDriven Lost and Found App | |
| dc.type | Final Year Project |