Tam, Alvin Yun Jie (2024) Ahli: Workout management mobile app. Final Year Project, UTAR.
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Abstract
The AHLI: Workout Management Mobile App is intended to give customers with individualized workout regimens, progress monitoring, and gym finding via the use of AI and cloud services. The app uses Google Gemini AI to create personalized workout regimens and the Google Places API to assist users find local gyms, while Firebase is utilized for data management and real-time synchronization. During development, the app encountered problems such as API rate constraints and compatibility concerns with Expo and React Native, which were resolved to provide a seamless user experience. Users expressed high levels of satisfaction with the app's use, design, and essential functions. Despite these obstacles, the software efficiently assists users in managing their fitness goals with easy interfaces and handy monitoring functions. Future enhancements might include adding social interaction features and enhancing API speed to improve the overall user experience.
| Item Type: | Final Year Project / Dissertation / Thesis (Final Year Project) |
|---|---|
| Subjects: | H Social Sciences > H Social Sciences (General) L Education > LB Theory and practice of education T Technology > T Technology (General) |
| Divisions: | Faculty of Information and Communication Technology > Bachelor of Information Systems (Honours) Digital Economy Technology |
| Depositing User: | ML Main Library |
| Date Deposited: | 14 Feb 2025 14:56 |
| Last Modified: | 14 Feb 2025 14:56 |
| URI: | http://eprints.utar.edu.my/id/eprint/6876 |
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