Vol. 4 No. 2 (2024): Journal of Deep Learning in Genomic Data Analysis
Articles

IoT-enabled Smart Nutrition Monitoring Systems for Dietary Management: Designing IoT-based nutrition monitoring systems to track dietary intake and promote healthy eating habits, supporting individuals in managing chronic conditions and achieving optimal

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  • Dr. Zara Khan
Dr. Zara Khan
Associate Professor of Computer Science, National University of Sciences and Technology, Pakistan

Published 04-09-2024

Keywords

  • IoT,
  • Smart Appliances
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Zara Khan, “IoT-enabled Smart Nutrition Monitoring Systems for Dietary Management: Designing IoT-based nutrition monitoring systems to track dietary intake and promote healthy eating habits, supporting individuals in managing chronic conditions and achieving optimal ”, Journal of Deep Learning in Genomic Data Analysis, vol. 4, no. 2, pp. 52–61, Sep. 2024, Accessed: Sep. 18, 2024. [Online]. Available: https://thelifescience.org/index.php/jdlgda/article/view/28

Abstract

This paper proposes the design and implementation of IoT-enabled Smart Nutrition Monitoring Systems for Dietary Management. The system aims to track dietary intake and promote healthy eating habits, particularly beneficial for individuals managing chronic conditions or seeking optimal nutrition. By leveraging IoT technologies, such as wearable devices and smart appliances, the system provides real-time monitoring, personalized recommendations, and data-driven insights. This paper discusses the design principles, technological components, and potential benefits of such a system, highlighting its role in improving dietary management and overall health outcomes.

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