EMOFOOD: web-based recommender system of food intake

Anis Sofia Mohd Norhisyam

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Type :	final_year_project
Subject :	LB Theory and practice of education
Main Author :	Anis Sofia Mohd Norhisyam
Title :	EMOFOOD: web-based recommender system of food intake

Place of Production :	Tanjong Malim
Publisher :	Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :	2023
Corporate Name :	Perpustakaan Tuanku Bainun
PDF Guest :	Click to view PDF file

Abstract : Perpustakaan Tuanku Bainun

The problem is many people are unaware of emotional eating habits affect their mental health. In order to help people's situation, especially youth, an author proposes a method that develops a web-based recommender system for food intake that is related to emotion. Emofood is a system that helps people increase mental strength through proper nutrition. Good food intake can not only keep the body healthy but can also improve mental health. The first objective of this study is to identify the criteria for the web-based recommender system of food intake for emotion. The second objective is to develop a web-based recommender system of food intake for emotion. The third objective is to do a heuristic evaluation on the web-based recommender system of food intake for emotion developed. The methodology for objective one is a literature review and interview. The methodology is using Evolutionary Prototype for the development model. Moreover, this research evaluates using heuristic evaluation to find out user satisfaction before product production. The expected output of this research gets user and features requirements to develop a webbased recommender system of food intake for emotion. The second expected output is the prototype product of the application. The third expected output is the result of the extent users are satisfied using the mobile product. The focus of the study is on Sultan Idris Education University for year 4 Software Engineering students.

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