Intelligent Systems For Food And Nutrition Management In Allied Health: Advancements, Challenges, And Future Directions

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Monojit Chowdhury
Soumyabrata Ghosh
Somsubhra Gupta

Abstract

In the ever-evolving realm of allied health sciences, a profound transformation is underway through the integration of intelligent systems with food and nutrition management. This research paper embarks on a comprehensive journey into the confluence of intelligent systems and food-related practices within the allied health context. By conducting a thorough analysis of applications, benefits, challenges, and ethical considerations, this paper illuminates the profound impact of intelligent systems on food ordering, dietary guidance, nutritional analysis, and health outcomes. Drawing insights from a diverse array of case studies, this paper provides a detailed exposition of the evolutionary trajectory of intelligent systems within the allied health landscape and underscores their potential to revolutionize food and nutrition management.

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How to Cite
Monojit Chowdhury, Soumyabrata Ghosh, & Somsubhra Gupta. (2024). Intelligent Systems For Food And Nutrition Management In Allied Health: Advancements, Challenges, And Future Directions. Educational Administration: Theory and Practice, 30(3), 2244–2253. https://doi.org/10.53555/kuey.v30i3.3684
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Author Biographies

Monojit Chowdhury

School of Computer Science, Swami Vivekananda University, West Bengal -700121

Soumyabrata Ghosh

School of Computer Science, Swami Vivekananda University, West Bengal -700121

Somsubhra Gupta

Department of Computer Science and Engineering, Swami Vivekananda University, West Bengal -700121

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