Multiple objective optimization based dietary recommender system

Abstract

In contemporary society, the profound impact of an individual’s diet on their health underscores the critical importance of dietary choices in maintaining overall wellbeing. Amidst the challenges posed by modern, hectic lifestyles, the manual tracking of meals becomes a cumbersome task. This paper addresses this issue through the development of a comprehensive meal recommender system. The envisioned system aims to automatically analyze and offer a nutritional breakdown of meals, alleviating the burden on individuals to manually track their dietary intake. It goes beyond conventional solutions by providing personalized recommendations that not only satisfy daily nutritional requirements but also cater to user preferences and promote meal diversity. This research endeavors to contribute to the enhancement of customers’ overall well-being by leveraging the capabilities of an advanced recommendation system. The paper outlines the design and implementation of this system, highlighting its potential to revolutionize how individuals manage their diets in contemporary, fast-paced lifestyles.