Investigation on Food Detection and Nutrients Science using Modern Artificial Intelligence and Machine Learning for Health Care Management

Abstract

The goal of Artificial Intelligence (AI) is to imitate intellectual processes, knowledge-based management and learning abilities. AI has several uses in the medical research, clinical settings and health care oriented systems. The field of diseases prediction, biomedical, health care application and food sciences has seen an extension of AI-based applications coupled with Machine Learning (ML) in recent decades. An AI with ML have a lot of impending in the areas of risk assessment, medical diagnostics, identification of critical diseases, food safety, healthcare, support for treatment and analyzing the root cause for the disease. The papers goal is to look at the utilization of AI in the domain of nutritional based science research and the health care system. It illustrates how computer-based decision-making processes works and might assist to improve health and medical treatment. A cutting-edge system built on machine learning that accurately classifies food photos and calculates food qualities automatically. Although machine learning and advanced statistics form the basis of AI, the subject of neural networks is currently undergoing revolutionary developments. In order to improve categorization accuracy, experiments were conducted using a range of food categories, with each category containing many numbers of images.

Keywords: Health Care, Food Safety, Nutrients Science, AI, ML, CNN

View PDF