Artificial Intelligence for Dietary Management

Author:

Gami Sandip J.1ORCID,Sharma Meghna2,Bhatia Ashima Bhatnagar3,Bhatia Bhupesh4,Whig Pawan5ORCID

Affiliation:

1. Independent Researcher, USA

2. Delhi Skill and Entrepreneurship University, India

3. Vivekananda Institute of Professional Studies, Technical Campus, India

4. Delhi Technological University, India

5. VIPS, India

Abstract

Artificial intelligence (AI) is increasingly becoming a pivotal tool in the field of dietary management, offering innovative solutions for personalized nutrition and health optimization. This chapter examines the application of AI technologies in managing dietary habits and improving nutritional outcomes. It covers the various AI techniques, including machine learning, natural language processing, and computer vision, used to analyze and interpret vast amounts of dietary data. The authors discuss how AI can provide tailored dietary recommendations, monitor eating behaviors, and predict nutritional deficiencies. Real-world examples and case studies are presented to demonstrate the efficacy and potential of AI-driven dietary management systems. By integrating AI into dietary management, this chapter highlights the transformative potential of intelligent systems in enhancing individual health and preventing diet-related diseases.

Publisher

IGI Global

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