Image Processing Based Classification of Energy Sources in Eatables Using Artificial Intelligence

Abstract

In this paper eatables categorization of calories and micro nutrients, as well as the study has been the idea in depth of studies the intake habits and dietetic assessment are related to the multiplicity of applications. The healthy lifestyle is must for every individual in today’s world along with giving utmost importance to what they consume as regulate to attain the similar. Our term paper focuses on creating software which offers the calorie and micro nutrients of the food image which the user is going to consume. The software will obtain images as input from the user in order to achieve this concept. The image will be detected with the aid of Faster Deep Learning algorithm from the food item. Using image processing and segmentation the image of food will be taken by this method, from the food image it calculates the nutrition and calorie content. The term paper gives a concise evaluates of these methods and proposes a capable way to compute and handle day by day food intake of patients and dietitians.