Tools for context-aware dietary recommendation
The ageing demographics of Singapore has led to added stress on the society to provide for its greying population. To mitigate the effects of an ageing society, active ageing has been encouraged actively by the government. Due to strong connections between a healthy diet and healthy living, this pro...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/136493 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-136493 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1364932022-07-14T06:17:03Z Tools for context-aware dietary recommendation Lim, Zheng Min Shen Zhiqi School of Computer Science and Engineering ZQShen@ntu.edu.sg Engineering Engineering::Computer science and engineering The ageing demographics of Singapore has led to added stress on the society to provide for its greying population. To mitigate the effects of an ageing society, active ageing has been encouraged actively by the government. Due to strong connections between a healthy diet and healthy living, this project is primarily focused on empowering the elderly in our society to obtain greater control of their dietary consumption. While there have been many diet tracking applications in the market, none are catered specially to the elderly. This project aims to provide the elderly in our society the capability to keep track of their nutrient intake through an Android application and hence, adjust their diet towards a healthier lifestyle. With a simple to use interface and local food choices like Ayam Penyat within the app’s database, the application is specially crafted for local context. The application integrates image classification capabilities to enable the user to identify their food through images taken from their own Android phone. It also includes functionalities that stores, analyze and display important information to the user in an intuitive manner. During the development of the project, android studio, colab, python and keras were utilized. Bachelor of Engineering (Computer Science) 2019-12-19T09:20:10Z 2019-12-19T09:20:10Z 2019 Final Year Project (FYP) https://hdl.handle.net/10356/136493 en Nanyang Technological University application/pdf Nanyang Technological University |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering Engineering::Computer science and engineering |
spellingShingle |
Engineering Engineering::Computer science and engineering Lim, Zheng Min Tools for context-aware dietary recommendation |
description |
The ageing demographics of Singapore has led to added stress on the society to provide for its greying population. To mitigate the effects of an ageing society, active ageing has been encouraged actively by the government. Due to strong connections between a healthy diet and healthy living, this project is primarily focused on empowering the elderly in our society to obtain greater control of their dietary consumption. While there have been many diet tracking applications in the market, none are catered specially to the elderly. This project aims to provide the elderly in our society the capability to keep track of their nutrient intake through an Android application and hence, adjust their diet towards a healthier lifestyle. With a simple to use interface and local food choices like Ayam Penyat within the app’s database, the application is specially crafted for local context. The application integrates image classification capabilities to enable the user to identify their food through images taken from their own Android phone. It also includes functionalities that stores, analyze and display important information to the user in an intuitive manner. During the development of the project, android studio, colab, python and keras were utilized. |
author2 |
Shen Zhiqi |
author_facet |
Shen Zhiqi Lim, Zheng Min |
format |
Final Year Project |
author |
Lim, Zheng Min |
author_sort |
Lim, Zheng Min |
title |
Tools for context-aware dietary recommendation |
title_short |
Tools for context-aware dietary recommendation |
title_full |
Tools for context-aware dietary recommendation |
title_fullStr |
Tools for context-aware dietary recommendation |
title_full_unstemmed |
Tools for context-aware dietary recommendation |
title_sort |
tools for context-aware dietary recommendation |
publisher |
Nanyang Technological University |
publishDate |
2019 |
url |
https://hdl.handle.net/10356/136493 |
_version_ |
1738844820655308800 |