UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 8
August-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRHA06014


Registration ID:
567378

Page Number

84-88

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Title

Nutri Care Health and Nutrition Advisor

Abstract

With the increasing prevalence of chronic illnesses and diet- related diseases, personalized nutrition has become a critical component of modern healthcare. Unfortunately, many existing solutions fail to provide customized dietary advice that meets individual health requirements. The Personalized Nutrition Recommender System aims to address this gap by offering tailored nutrition plans based on users' medical history, current health status, and dietary preferences. Utilizing advanced machine learning techniques and a rich nutritional database, the system analyses this information to recommend diets that assist in managing or preventing specific health conditions. What sets the Personalized Nutrition Recommender System apart is its dynamic, real-time adaptability, refining its recommendations as users provide feedback, ensuring the dietary advice remains relevant as their health conditions evolve. Featuring an intuitive interface, the platform delivers personalized dietary suggestions in alignment with established health guidelines. Initial trials have demonstrated that the system significantly improves user’s ability to make well- informed dietary choices, leading to better disease management and enhanced overall health. The system’s key innovation lies in providing real-time, disease-specific nutrition guidance, empowering individuals to take proactive control over their health with a customized approach, moving beyond generic recommendations. The Personalized Nutrition Recommender System represents a transformative step in the integration of nutrition into healthcare, offering a scalable, data-driven solution for effective, personalized dietary management

Key Words

health advisor, nutrition platform, personalized diet, disease-based recommendations, AI in healthcare.

Cite This Article

"Nutri Care Health and Nutrition Advisor", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.84-88, August-2025, Available :http://www.jetir.org/papers/JETIRHA06014.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Nutri Care Health and Nutrition Advisor", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. pp84-88, August-2025, Available at : http://www.jetir.org/papers/JETIRHA06014.pdf

Publication Details

Published Paper ID: JETIRHA06014
Registration ID: 567378
Published In: Volume 12 | Issue 8 | Year August-2025
DOI (Digital Object Identifier):
Page No: 84-88
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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