Development of physical and mental healthcare application
In this society, everyone may put less effort into maintaining their physical and mental health as their daily workload is increasing. They may not have such time to take care of their wellness and even worse that they ignore their own health. Some chronic diseases such as obesity and stroke as w...
| Main Author: | |
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/6637/ http://eprints.utar.edu.my/6637/1/fyp_CS_2024_LGMH.pdf |
| _version_ | 1848886732916785152 |
|---|---|
| author | Lai, Grace Meng Huey |
| author_facet | Lai, Grace Meng Huey |
| author_sort | Lai, Grace Meng Huey |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | In this society, everyone may put less effort into maintaining their physical and mental health
as their daily workload is increasing. They may not have such time to take care of their wellness
and even worse that they ignore their own health. Some chronic diseases such as obesity and
stroke as well as mental problems such as depression and anxiety keep increasing in these years
due to poor nutrition, physical inactivity and staying in this stressful environment. However,
there are only a few existing applications supporting both these aspects of health. Therefore,
the project aims to develop mobile applications that integrates physical and mental health
services to improve overall well-being. In order to meet the aim, this project is developed with
two objectives which are to develop a mobile application that provides suitable workout and
meal plan based on their information and goals and to propose an automatic mood detection to
recognise user’s emotion correctly. A user-friendly interface is developed in the application to
ease the users to use the application. This project uses deep learning to propose automatic mood
detection using a camera or photo from gallery and also use API call for creation of workout
and dataset for creation of meal plan. These plans help to track calorie intake to ensure users
maintain within the targeted number of calories that users can consume daily. The result
captured from the mood detection will be tracked to study the patterns of the users over time.
Other than that, the application will also include reminders to remind users to do something. In
summary, the development of this physical and mental healthcare application improves
people’s health outcomes as it provides convenience and support in all aspects of health. |
| first_indexed | 2025-11-15T19:43:11Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-6637 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:43:11Z |
| publishDate | 2024 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-66372024-10-23T05:53:35Z Development of physical and mental healthcare application Lai, Grace Meng Huey HT Communities. Classes. Races L Education (General) T Technology (General) TD Environmental technology. Sanitary engineering In this society, everyone may put less effort into maintaining their physical and mental health as their daily workload is increasing. They may not have such time to take care of their wellness and even worse that they ignore their own health. Some chronic diseases such as obesity and stroke as well as mental problems such as depression and anxiety keep increasing in these years due to poor nutrition, physical inactivity and staying in this stressful environment. However, there are only a few existing applications supporting both these aspects of health. Therefore, the project aims to develop mobile applications that integrates physical and mental health services to improve overall well-being. In order to meet the aim, this project is developed with two objectives which are to develop a mobile application that provides suitable workout and meal plan based on their information and goals and to propose an automatic mood detection to recognise user’s emotion correctly. A user-friendly interface is developed in the application to ease the users to use the application. This project uses deep learning to propose automatic mood detection using a camera or photo from gallery and also use API call for creation of workout and dataset for creation of meal plan. These plans help to track calorie intake to ensure users maintain within the targeted number of calories that users can consume daily. The result captured from the mood detection will be tracked to study the patterns of the users over time. Other than that, the application will also include reminders to remind users to do something. In summary, the development of this physical and mental healthcare application improves people’s health outcomes as it provides convenience and support in all aspects of health. 2024-01 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6637/1/fyp_CS_2024_LGMH.pdf Lai, Grace Meng Huey (2024) Development of physical and mental healthcare application. Final Year Project, UTAR. http://eprints.utar.edu.my/6637/ |
| spellingShingle | HT Communities. Classes. Races L Education (General) T Technology (General) TD Environmental technology. Sanitary engineering Lai, Grace Meng Huey Development of physical and mental healthcare application |
| title | Development of physical and mental healthcare application |
| title_full | Development of physical and mental healthcare application |
| title_fullStr | Development of physical and mental healthcare application |
| title_full_unstemmed | Development of physical and mental healthcare application |
| title_short | Development of physical and mental healthcare application |
| title_sort | development of physical and mental healthcare application |
| topic | HT Communities. Classes. Races L Education (General) T Technology (General) TD Environmental technology. Sanitary engineering |
| url | http://eprints.utar.edu.my/6637/ http://eprints.utar.edu.my/6637/1/fyp_CS_2024_LGMH.pdf |