Artificial Neural Network based Nutrition Monitoring System Using Internet of Things

  • E.Niharika, Dr K. Madhavi

Abstract

Nutrients intake through food is one of the essential thing to maintain good health. The wrong amount of nutrient intake through food leads to several health disorders and may cause serious diseases. So an automated system is helpful to monitor the nutritional facts present in the food for all age groups at home. In this paper, an automated nutrition monitoring system that makes use of Internet of Things(IOT) and Artificial Neural Networks(ANN) is presented. Here hardware part is used to quantify the nutrition present in the food. An algorithm based on artificial neural networks is used to extract the nutritional features present in the current meal, to calculate the calories needed to be burnt by the person and to predict the future meal. This proposed one also provides the amount of nutrients and weight of the food needed to be consumed. This prediction can be done by considering some parameters like the age of the person, current meal weight and quantity of nutritional facts required to be consumed by a person in a day. Hence this system helps a person to balance the diet and reduces the risks related to health.

Published
2021-01-01
Section
Articles