UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 12
December-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2012317


Registration ID:
304644

Page Number

846-848

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Title

Online Dietician using Artificial intelligence

Abstract

The online artificial dietician is a web page with artificial intelligence about human diets. It acts as a diet. Based on a person's schedule, body type, height and weight, a dietician it consults a person, the system too asks all this data from the user and processes it. It requires information about how many hours the user works, his height, weight, age etc. The system stores and processes this data and then calculates the nutrient B.M.I value needed to fill up user’s needs. The system then shows an appropriate diet to the users and asks if user is ok with it, else it shows other alternate diets to fill up user’s needs.

Key Words

Diet, Dietician, AI, Bot, Online Dietician

Cite This Article

"Online Dietician using Artificial intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 12, page no.846-848, December-2020, Available :http://www.jetir.org/papers/JETIR2012317.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

"Online Dietician using Artificial intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 12, page no. pp846-848, December-2020, Available at : http://www.jetir.org/papers/JETIR2012317.pdf

Publication Details

Published Paper ID: JETIR2012317
Registration ID: 304644
Published In: Volume 7 | Issue 12 | Year December-2020
DOI (Digital Object Identifier):
Page No: 846-848
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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