Machine Learning based Fitness application using BMI value

Abstract

Abstract One of the foremost emerging and important aspect people were following these days are fitness. The people are suffering from obesity which led to extreme medical disease. The body Fat Percentage (BFP) is the one of the most widely used method used to calculate the fitness level of the human. This study proposes the method to predict the BFA using the regression method. It also prescribes how people can maintain proper diet for being healthy and stay fit. Based on the prediction result, the web application provide people with the prescribed module like gym, proper diet, doctor consultation etc. The people can choose their respective module according to their fitness level. Also, the doctor consultant module is implemented using support vector machine (SVM) which classify the people according to the level of fitness and also the appropriate choice of doctor. The prediction result reveals the proposed model efficiency