Ahli: Workout management mobile app
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 fi...
| Main Author: | |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/6876/ http://eprints.utar.edu.my/6876/1/fyp_DE_2024_TAYJ.pdf |
| Summary: | 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. |
|---|