Diet and Health Advisory Mechanism from Facial Features Using Machine Learning

Abstract

People are seemingly becoming more and more health conscious. They are watching their weight, cholesterol, respiratory status and a lot of other body parameters at every instant. With this newfound concern for the physical well-being we have a macroscopic section of the society who are in constant connection with doctors, dermatologists, dietitians and so on in order to gain necessary insights. This takes a lot of efforts and money to which is why we have another large proportion of society that is reluctant to visit health specialists due to cost and several other factors. In order to curb these efforts and minimize them in a way that such services are taken only when actually needed, this paper identifies fat and adiposity measures and subsequently prescribes diet. This advisory can be periodic, routinely and focused on the inculcation of a new diet plan which would be beneficial to the user in the long run. The diet and health advisory system mentioned in this paper uses the relation between facial adiposity and Body Mass Index(BMI) to obtain an accuracy of 60% in making patient health prediction and diet planning.