An AI Based Nutrient Tracking and Analysis System

Fecha de publicación: 01/01/2025
Fuente: Food sciences and nutrition
Abstract
Nutrition is the process of obtaining vital nutrients from food required for life. This helps in the overall development of the body. A balanced diet helps in maintaining a healthy body weight, which in turn increases the quality of life. Right dietary evaluation is necessary to know the relation between deficient intake and the risk of nutritional status, and to plan the nutritional intake. Therefore it is appreciative to know how many calories are consumed daily. To rescue the danger of malnutrition, there must be a system to evaluate the nutritional value present in the food you intake to meet the nutritional requirements. To calculate calories, there are multiple ways which include rate-a-plate method, weighed food method, food charts and visual estimation method (VEM). Researchers say that there are recurrent mistakes made in the estimation of food intake. This paper presents a web-based system that utilizes Artificial Intelligence (AI) to estimate the nutritional content of food. The system is designed to process food images and automatically identify the food items while measuring the calories in the food. This method is a three-step process for segregating the foods, recognizing them, and guesstimating the volume of food that is consumed.