International Journal of Progressive Research in Engineering Management and Science
(Peer-Reviewed, Open Access, Fully Referred International Journal)

ISSN:2583-1062
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Paper Details

CUSTOMIZED DIET ASSISTED SYSTEM BASED ON FOOD RECOGNITION USING DEEP LEARNING (KEY IJP************514)

  • Pavithra Venkatesan,Poorani S,Sharmila G,Yogeshwari R,Amsaleka R

Abstract

Today, people across the universe are becoming more sensitive to their diet. Unbalanced diets can cause many problems, like weight gain, obesity, sugar, etc. So different systems were developed analyze food images to calculate calories, nutrition levels, etc. Food is one of the most important requirements for every living being on earth. Human beings require their food to be fresh, pure, and of standard quality. The standards imposed and automation carried out in the food processing industry take care of food quality. Food is very important for a successful healthy diet, and measuring calories and nutrition in daily food is one of the most challenging methods. Smartphones play a vital role in todays technological world using this technique, which enhances the issue of dietary intake. In this methodology, a food image recognition system for measuring calorie and nutrition values has been developed. The user has to take a picture of the food image; this system will classify the image to detect the type of food and portion size, and the recognition information will estimate the number of calories in the food. In the proposed food area, size and volume are used to calculate the calories and nutrition in an accurate way.

DOI LINK : 10.58257/IJPREMS31236 https://www.doi.org/10.58257/IJPREMS31236
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