Recent Advances in AI based Automated Personalized Nutrition System: Future Need of Healthcare

Abstract

Intake of healthy and balanced nutrition is the most important and common need of human being to develop strong immune system against the life-threatening diseases such as cancer, diabetic, cardiovascular diseases and covid-19. Universal diet for each individual is not a biological correct statement hence there is a future need of society to have an automated low-cost personalized diet system. From last decade, due to technical advancement in artificial intelligence, social and mobile network it is very easy to share food images, recipes and food diaries on common platform which will be further be helpful to develop large-scale data. Due to this technical development there is lot of research scope for significant area of research known as food computing and energy expenditure calculations. In this research paper, we have provided compressive overview of different emerging innovations in the field of food classification and energy expenditure calculations. Comparative analysis of each method is provided in tabular form to get more insight to each application. This paper is concluded with findings and future challenges in the field of food computing and energy expenditure calculations. It is the future need to shape this area by overcoming challenges to provide economical and personalized nutrition system to the society.