UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2404512


Registration ID:
536437

Page Number

f109-f113

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Title

FITMATE : PERSONALIZED HEALTH ASSISTANT USING MACHINE LEARNING

Abstract

In today's fast-paced world, characterized by hectic schedules and on-the-go lifestyles, many individuals find themselves prioritizing convenience over nutrition, often resorting to fast food for sustenance. However, this hurried approach to eating frequently results in inadequate nutritional intake and can contribute to a host of health issues, including obesity and chronic illnesses. The modern lifestyle, with its emphasis on convenience and instant gratification, has led to a disconnect between individuals and their dietary habits, often leaving them unaware of the nutritional value of their food choices. Recognizing the importance of addressing these challenges, there is a growing need for personalized solutions that prioritize health and well-being amidst the demands of modern living. FitMate emerges as a beacon of hope in this landscape, offering a revolutionary approach to health and nutrition. By leveraging advanced technology and personalized data analysis, FitMate empowers users to make informed choices about their health, enabling them to achieve their wellness goals despite the challenges of their busy lifestyles. FitMate's comprehensive platform goes beyond traditional diet and exercise recommendations, providing users with personalized guidance on meal planning, exercise routines, and overall lifestyle changes. By analyzing individual health metrics, preferences, and goals, FitMate tailors its recommendations to each user's unique needs, ensuring maximum effectiveness and long-term sustainability. Through its innovative approach, FitMate aims to revolutionize the way individuals approach health and nutrition, helping them adopt sustainable habits that promote long-term well-being. By providing users with the tools and support they need to make positive changes in their lives, FitMate empowers individuals to take control of their health journey and achieve their full potential. With FitMate, users can embark on a transformative journey towards better health and vitality, guided by personalized recommendations and expert insights. By embracing the power of technology and personalized data analysis, FitMate is reshaping the future of health and wellness, one user at a time.

Key Words

Machine Learning, Healthcare, Chatbot, Web Application

Cite This Article

"FITMATE : PERSONALIZED HEALTH ASSISTANT USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.f109-f113, April-2024, Available :http://www.jetir.org/papers/JETIR2404512.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

"FITMATE : PERSONALIZED HEALTH ASSISTANT USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppf109-f113, April-2024, Available at : http://www.jetir.org/papers/JETIR2404512.pdf

Publication Details

Published Paper ID: JETIR2404512
Registration ID: 536437
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: f109-f113
Country: Mysore, Karnataka, India .
Area: Medical Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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