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Artificial Intelligence for Dietary Management: Transforming Nutrition Through Intelligent Systems
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Author(s): Sandip J. Gami (Independent Researcher, USA), Meghna Sharma (Delhi Skill and Entrepreneurship University, India), Ashima Bhatnagar Bhatia (Vivekananda Institute of Professional Studies, Technical Campus, India), Bhupesh Bhatia (Delhi Technological University, India)and Pawan Whig (VIPS, India)
Copyright: 2024
Pages: 32
Source title:
Nutrition Controversies and Advances in Autoimmune Disease
Source Author(s)/Editor(s): Srikanta Patnaik (SOA University, India & Interscience Institute of Management and Technology, India), Ahmed M. Hamad (Benha University, Egypt), Debjyoti Paul (Amity University, Kolkata, India), Pushan Kumar Dutta (Amity University, Kolkata, India)and Muhammad Shafiq (Guangzhou University, China & Shenyang Normal University, China)
DOI: 10.4018/979-8-3693-5528-2.ch010
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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.
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