UGC Approved Journal no 63975(19)

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

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2105884


Registration ID:
310122

Page Number

g627-g631

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Title

Calorie Intake Tracker

Abstract

The calorie intake tracking is used for getting accurate calorie information from food images and adding the no. of calories captured to the progress bar if the user exceeds the no. of calorie target which was previously given by him then he/she need to be warned. The objective of this work is to develop a model which can predict the calories from the food image taken by the user and add the calories to the daily progress bar. This work can be done using a Convolution Neural Networks model using a dataset with cross-validation technique to identify food items from images. With this model, we overcome the problems of over-eating, obesity etc. The calorie intake tracking is important as it helps users to be conscious of what they are consuming.

Key Words

CNN ML Algorithm, Android, TensorFlow, TensorFlowLite.

Cite This Article

"Calorie Intake Tracker", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.g627-g631, May-2021, Available :http://www.jetir.org/papers/JETIR2105884.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

"Calorie Intake Tracker", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppg627-g631, May-2021, Available at : http://www.jetir.org/papers/JETIR2105884.pdf

Publication Details

Published Paper ID: JETIR2105884
Registration ID: 310122
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: g627-g631
Country: Hyderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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