Food Nutrition Recognition Using Deep Learning Neural Networks

Abstract

As individuals over the globe are ending up more keen on watching their weight, eating more
beneficial and maintaining a strategic distance from fatness, a framework that can measure calories and nutrition in
consistently dinners can be extremely valuable. In this paper, we propose a food calorie and nutrition opinion
construction that can help patients and dietitians to measure and oversee every day sustenance admission. Our
framework is based on sustenance picture preparing and grouping utilizing simulated neural system utilizes dietary
destinies tables. As of late, there has been an expansion in the utilization of individual portable improvement, for
example, cell phones or tablets, which patrons communicate with them for all intents and purposes constantly. By
means of an uncommon adjustment strategy, our framework utilizes the inherent camera of such cell phones and
records a take pictures of of the nutrition before, then after the fact eating it to quantify the utilization of calorie and
supplement parts. Our outcomes demonstrate that the precision of our framework is satisfactory and it will greatly
improve and encourage current manual calorie estimation procedures.