NutriConnect: A Smart Health System for Personalized Dietary Care

- Digital health platforms are revolutionizing the man- ner in which people take care of their diet and overall preventive health. NutriConnect is an online platform designed to simplify and standardize health records, standardize BMI computations, provide customized diet regimes, and enable remote consultations between patients and healthcare providers. This paper synthesizes information from current literature, describes the system’s design and implementation decisions, and assesses how the platform improves accessibility, accuracy, and continuity in nutrition care. It further incorporates illustrative materials like tables, diagrams, and an assessment framework to give a complete technical overview. We also look at important privacy, usability, and scalability concerns, as well as future potential extensions such as AI-based personalization, wearable device integration, and predictive risk modeling.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-09
DOI
https://doi.org/10.5281/zenodo.17083773
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

NutriConnect: A Smart Health System for Personalized Dietary Care

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

NutriConnect: A Smart Health System for Personalized Dietary Care

article en

Abstract

- Digital health platforms are revolutionizing the man- ner in which people take care of their diet and overall preventive health. NutriConnect is an online platform designed to simplify and standardize health records, standardize BMI computations, provide customized diet regimes, and enable remote consultations between patients and healthcare providers. This paper synthesizes information from current literature, describes the system’s design and implementation decisions, and assesses how the platform improves accessibility, accuracy, and continuity in nutrition care. It further incorporates illustrative materials like tables, diagrams, and an assessment framework to give a complete technical overview. We also look at important privacy, usability, and scalability concerns, as well as future potential extensions such as AI-based personalization, wearable device integration, and predictive risk modeling.

Zenodo (CERN European Organization for Nuclear Research)
Parul University (IN)
Zero hunger
Openalex Percentile: Top 48%
Geochemistry and Geologic Mapping
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