DietAid: Food consumption tracker using Mobilenet Model / Muhammad Firdaus Rosli

Human are provided with a wide array of choice of foods in everyday life, “we are what we eat” that why we should be concern about what and how much food we need to eat. Most people do not know how much left they need to consume. So, people needs an application that can help them to easily track the...

Full description

Saved in:

Bibliographic Details
Main Author:	Rosli, Muhammad Firdaus
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Application software Android
Online Access:	https://ir.uitm.edu.my/id/eprint/35595/1/35595.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.35595
record_format	uketd_dc
spelling	my-uitm-ir.355952020-11-26T07:12:34Z DietAid: Food consumption tracker using Mobilenet Model / Muhammad Firdaus Rosli 2020 Rosli, Muhammad Firdaus Application software Android Human are provided with a wide array of choice of foods in everyday life, “we are what we eat” that why we should be concern about what and how much food we need to eat. Most people do not know how much left they need to consume. So, people needs an application that can help them to easily track their food consumption, which also able to help with their diet plan. Different people require different daily nutrition for their body, this is due to gender, age, height, weight and daily activity. The purpose of this project is to develop mobile application to track food consumption by recording the calories of food eaten. The food type is recognized by using Mobilenet model which implemented in Tensorflow Lite. This application was built using Android Studio, for the interface Adobe XD is used and the model is trained in cloud using Teachable Machine platform. The model that has been chosen can be applied to mobile application as it will be easy to be used by all users anytime anywhere. Currently, only 30 types of food and its calories can be recorded. The results of testing the application is 86% which shown that it is able to correctly identify the food type and record the calories to track each required user food consumption. As for the future recommendation for this project, it should provide a capability to record more food types as there are many various of food available. On the other hand, enable user to record multiple food at once which could improve the exactness of nutrition consumption taken. 2020 Thesis https://ir.uitm.edu.my/id/eprint/35595/ https://ir.uitm.edu.my/id/eprint/35595/1/35595.pdf text en public degree Universiti Teknologi MARA, Cawangan Melaka Faculty of Computer and Mathematical Science Ahmad Fadzil, Ahmad Firdaus
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ahmad Fadzil, Ahmad Firdaus
topic	Application software Android
spellingShingle	Application software Android Rosli, Muhammad Firdaus DietAid: Food consumption tracker using Mobilenet Model / Muhammad Firdaus Rosli
description	Human are provided with a wide array of choice of foods in everyday life, “we are what we eat” that why we should be concern about what and how much food we need to eat. Most people do not know how much left they need to consume. So, people needs an application that can help them to easily track their food consumption, which also able to help with their diet plan. Different people require different daily nutrition for their body, this is due to gender, age, height, weight and daily activity. The purpose of this project is to develop mobile application to track food consumption by recording the calories of food eaten. The food type is recognized by using Mobilenet model which implemented in Tensorflow Lite. This application was built using Android Studio, for the interface Adobe XD is used and the model is trained in cloud using Teachable Machine platform. The model that has been chosen can be applied to mobile application as it will be easy to be used by all users anytime anywhere. Currently, only 30 types of food and its calories can be recorded. The results of testing the application is 86% which shown that it is able to correctly identify the food type and record the calories to track each required user food consumption. As for the future recommendation for this project, it should provide a capability to record more food types as there are many various of food available. On the other hand, enable user to record multiple food at once which could improve the exactness of nutrition consumption taken.
format	Thesis
qualification_level	Bachelor degree
author	Rosli, Muhammad Firdaus
author_facet	Rosli, Muhammad Firdaus
author_sort	Rosli, Muhammad Firdaus
title	DietAid: Food consumption tracker using Mobilenet Model / Muhammad Firdaus Rosli
title_short	DietAid: Food consumption tracker using Mobilenet Model / Muhammad Firdaus Rosli
title_full	DietAid: Food consumption tracker using Mobilenet Model / Muhammad Firdaus Rosli
title_fullStr	DietAid: Food consumption tracker using Mobilenet Model / Muhammad Firdaus Rosli
title_full_unstemmed	DietAid: Food consumption tracker using Mobilenet Model / Muhammad Firdaus Rosli
title_sort	dietaid: food consumption tracker using mobilenet model / muhammad firdaus rosli
granting_institution	Universiti Teknologi MARA, Cawangan Melaka
granting_department	Faculty of Computer and Mathematical Science
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/35595/1/35595.pdf
_version_	1783734306221326336

DietAid: Food consumption tracker using Mobilenet Model / Muhammad Firdaus Rosli

Similar Items