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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Diet Recommendation System Using Machine Learning
Authors Name: Prerana Madhira , Kotapati Harshini , Batta Kavya , S Mounasri
Unique Id: IJSDR2206106
Published In: Volume 7 Issue 7, July-2022
Abstract: People from all around the world are getting more concerned about their health and way of life in today's modern environment. However, avoiding junk food and exercising alone are insufficient; we also need to eat a balanced diet. We can live a healthy life with a balanced diet based on our height, weight, and age. Your diet can help you achieve and maintain a healthy weight, lower your chance of developing chronic diseases (including cancer and heart disease), and improve your general health when combined with physical activity. A balanced diet provides your body with the nutrition it needs to operate properly. The quantity of energy that a food contains is measured in calories. We use calories every single day to breathe, move around, walk, run, etc. A person requires, on average, 2000 calories a day, but the precise amount depends on the person's physical characteristics, including weight, height, age, and gender. Therefore, the food decisions you make each day have an impact on your health and how you will feel now, tomorrow, and in the future. As a result, a suggested system recommends a diet for you based on your physical characteristics and your end aim.
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Cite Article: "Diet Recommendation System Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.652 - 654, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2206106.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2206106
Registration ID:200821
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 652 - 654
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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