Nutrition Estimation and Dietary Assessment in Indian Food through Deep Learning

Food Nutrition prediction is an interesting area of work before 10 years. There was a active research went on. But after that there was a break of research on this area. Now after corona some active work is going on. As the people are interested to know the intake of their food nutrition. And in this paper proposing the nutrition prediction in the Indian food. In this paper followed the deep learning approach to predict the nutrition in the food. The person who is interested in finding the nutrition intake will capture the image of the food before intake and can get the nutrition values before going to consume. So, it can help the people to get an idea and track of the nutrition they are consuming.In this we are using a deep learning approach to find the nutrition in the image. User will capture the food image then that image is sent through CNN model. then by the CNN model will find what food item is captured. And before capturing the image will ask user information also like name, age, height and weight. So will calculate the BMI and the nutrition required for the person. And will store the nutrition content user is consuming in every meal. So, at end will show the BMI of the user, and present nutrition user is consuming from the meal and total nutrition user has to consume in a day. Our model for food classification achieved an accuracy of 91.87%