SMART NUTRITION MONITORING SYSTEM USING IOT

COMPUTER ENGINEERING

Nowadays, people across the universe are becoming more sensitive to their diet. Unbalanced diet can cause many problems like weight gain, obesity, sugar, etc. So different systems were developed to analyse food images to calculate calorie, nutrition level etc. Nutrition plays a vital role in our daily life and many health issues occur due to lack of proper nutrition. Many researchers are working on developing a proper application that could be used by different age category people to monitor the nutrition consumption on a daily basis. This paper gives a brief review of those systems and proposes an effective thanks to measure and manage daily food intake of patients and dietitians. We have proposed an application based on IoT using deep techniques that helps in monitoring proper food plan and nutrition guidance to the user. The user is allowed to log the intake of food that he is consuming regularly. All the information regarding food consumption is stored in a database and processed. The system will take the pictures of food and using image processing and segmentation, it calculates the nutrition and calorie content within the food. The proposed system will certainly improve and facilitate the present calorie measurement techniques. The processing is done using deep neural networks where the network is trained with the consumption of the intake and thus gives the proper nutrition plan according to the person to balance the amount of nutrition taken in a day. The proposed approach is evaluated and the performance of the approach is observed to be better than any other existing nutrition monitoring system.

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