International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AI-Based Personalized Dietary Planning Tools

Author(s) Puneeth Raj
Country India
Abstract AI-based personalized dietary planning tools represent a breakthrough in the field of nutrition and health, offering individualized meal recommendations based on a wide array of personal data. These tools integrate artificial intelligence and machine learning algorithms to analyze user information, such as health conditions, dietary preferences, lifestyle habits, and biometric data, to generate customized dietary plans that promote optimal health outcomes. The paper explores the components of AI-based dietary planning systems, the working mechanisms behind these tools, and their applications in managing chronic conditions, weight control, and overall health. It also addresses ethical considerations, such as data privacy concerns, bias in AI models, and user trust, as well as challenges related to data availability and system integration. Furthermore, the paper highlights emerging trends in AI-driven dietary tools, including the integration of genomic data and advancements in machine learning techniques. Case studies and real-world applications demonstrate the practical benefits and effectiveness of AI in supporting personalized nutrition. In conclusion, AI-based personalized dietary planning tools have the potential to revolutionize dietary recommendations, improving health outcomes through data-driven, individual-centered nutrition management.
Field Computer Applications
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-04-14
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.41432
Short DOI https://doi.org/g9fm3k
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E-ISSN 2582-2160
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