Design and Evaluation of the PustiPothika mHealth App: A Machine Learning-Enabled Solution for Daily Nutritional Monitoring and Recommendations in Bangladesh

Eating healthy is important, but it is not enough; consuming all the necessary nutrients the body requires is equally important. Nutrients are essential for all bodily systems' growth, repair, and proper functioning. In this study, we have surveyed to understand the views and practices among Ba...

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Bibliographic Details
Main Authors: Halder, Nabarun, Tabassum, Yousra, Islam, Anika, Sultana, Nusrat, Smaron, JM Sadik-Ul Islam, Islam, Ashraful
Format: Conference Proceeding
Language:English
Subjects:
Biomedical monitoring
Food Habits
HCI
Health Concerns
Maintenance engineering
mHealth
Mobile applications
Monitoring
Nutrients
Nutrition
Public Health
Recommender systems
Surveys
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Summary:Eating healthy is important, but it is not enough; consuming all the necessary nutrients the body requires is equally important. Nutrients are essential for all bodily systems' growth, repair, and proper functioning. In this study, we have surveyed to understand the views and practices among Bangladeshi people, how they make their dietary choices, and the use of the mobile health (mHealth) app. We developed a mobile application for the people of Bangladesh, where providing physiological information allows the users to know their nutritional needs and make their grocery choices accordingly. We developed a recommendation system that can create a list depending on the user's nutritional requirements, with just a little preference for food items. Through our survey, among 72 participants, 75% wanted this kind of solution and among 10 testers, all of them liked using our system.
ISSN:2831-6878
DOI:10.1109/ASET60340.2024.10708685