Food Recognition and Calorie Estimation Using CNN Algorithm

This paper proposes the relationship between nutritional ingredients identification in food and inspecting Calories through Machine Learning models to perform the data analysis. It identifies the Nutrition that we may get affected by the lack of certain nutritional ingredients in our body and recommend the food that can benefit the rehabilitation of those Weight Groups. To achieve high accuracy and low time complexity, the proposed system was implemented using CNN Machine Learning models. Image of food gets scanned by the CNN machine learning model and it separates the image layer by layer. Separated layers get compressed and converted into single layers and make analysis with the existing data. Real-time nutritional and calorie data get displayed on the webpage. The state of art accuracy of 92.04%