Human Body Analysis and Diet Recommendation System using Machine Learning Techniques

Abstract

. Nowadays the human faces the problem in maintaining the health condition in proper level. The problem is occurred due to excess consumption of the food which leads to obesity and also causes health issues. Mismanagement of the human health system is monitored using automated system which provides the report to the person. Traditional health monitoring model lacks in the accuracy of the report so it is improved by implementing intelligent diet control system. This provides the human choose and consumed proper food based on their health condition and extend the life time. The main objective of the proposed system analyses the body and provides the diet report to the person accurately. Exiting techniques are only support the person based on the current activity which leads the reliability problem. The proposed model uses the machine learning approach which analyzes the body of the human with pre medical history and predict the future health condition over the year. It provides the diet recommendation systems by considering the current and past food consumption record and recommend proper diet report with more reliable manner.