Diet Recommendation System based on Different Machine Learners: A Review
Megh Shah, Sheshang Degadwala, Dhairya Vyas
Abstract
In today’s culture, many people suffer from a range of ailments and illnesses. It’s not always simple to recommend a diet right away. The majority of individuals are frantically trying to reduce weight, gain weight, or keep their health in check. Time has also become a potential stumbling block. The study relies on a database that has the exact amounts of a variety of nutrients. As a result of the circumstance, a program that would encourage individuals to eat healthier has been created. Only three sorts of goods are recommended: weight loss, weight gain, and staying healthy. The Diet Recommendation System leverages user inputs such as medical data and the option of vegetarian or non-vegetarian meals from the two categories above to predict food items. We’ll discuss about food classification, parameters, and machine learning in this post. This study also includes a comparative review of the advantages and disadvantages of machine learning methods. Finally, we’ll discuss future research directions for the diet guidance system.