Eng, Xian Yu (2025) An intelligent animal rescue system. Final Year Project, UTAR.
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Abstract
The ResQMe Animal Rescue System is a mobile application designed to streamline animal rescue operations by connecting the public, volunteers, and administrators on a single platform. Rescue operations sometimes face key challenges, including a lack of animal recognition, limited educational resources, and inadequate route planning systems. To overcome these limitations and make rescue operations more effective, ResQMe targets the implementation of a CNN-based animal recognition system, additional educational resources, and GPS-based real-time distance calculation and route planning to the nearest rescue clinics. Besides, the development of extra features, such as OCR-based IC verification, TTS pronunciation, built in notifications, wildlife rescue reports, user extra description addition, and volunteer application submissions integration between Firebase and the Android Studio platform, was successfully implemented among admins and users. By combining core components, ResQMe meets the requirements in animal rescue operations and promotes public awareness in animal welfare.
| Item Type: | Final Year Project / Dissertation / Thesis (Final Year Project) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Information and Communication Technology > Bachelor of Computer Science (Honours) |
| Depositing User: | ML Main Library |
| Date Deposited: | 28 Dec 2025 23:54 |
| Last Modified: | 28 Dec 2025 23:54 |
| URI: | http://eprints.utar.edu.my/id/eprint/7099 |
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