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Personalized Nutrition and AI-Driven Dietary Planning: A Technological Leap Toward Health Optimization
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Author(s): M. R. Ramesh (IGCAR, India)
Copyright: 2026
Pages: 42
Source title:
AI and the Future of Smart Cooking
Source Author(s)/Editor(s): Ankit Shukla (Rajamangala University of Technology, Thanyaburi, Thailand), Nagendra Yadav (Welcomgroup Graduate School of Hotel Administration, Manipal Academy of Higher Education, Manipal, India), Partho Pratim Seal (Manipal Academy of Higher Education, India)and Abhishek Tiwari (Burapha University International College, Thailand)
DOI: 10.4018/979-8-3373-4042-5.ch011
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Abstract
This chapter explores the intersection of personalized nutrition and artificial intelligence (AI) in transforming dietary planning for optimal health. Personalized nutrition focuses on tailoring dietary recommendations based on an individual's unique genetic makeup, lifestyle, and health conditions. AI plays a pivotal role in this field by processing vast amounts of data to offer precise, dynamic, and scalable dietary plans. The chapter delves into AI-driven tools, such as machine learning algorithms and predictive analytics, which enable real-time, data-driven dietary advice. Furthermore, it examines how AI enhances food tracking, nutrient analysis, and the creation of personalized meal plans, leading to better health outcomes, weight management, and chronic disease prevention. Through these innovations, AI offers a promising future for individualized health optimization and wellness.
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