Food Classification and Calories Prediction by using Flask Framework

Description

It is imperative to take great measures of calories to stay away from different illnesses. The Standard admission of various calories is basic for keeping the correct equilibrium of calories in the human body. In this paper, a web-based application of flask framework for estimating fruit calories and improving individual’s utilization propensities for wellness is developed. A calorie portion of a fruit is distinguished utilizing standard picture dataset utilizing various advances training and testing the data with the help of Pretrained network by using image processing techniques. The final step is to estimate the calories in the given fruit and provide the users, patients with optimum solutions for fruit intake. The analysis of different calorie estimation techniques is presented.