UGC Approved Journal no 63975(19)

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

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRQ006038


Registration ID:
193339

Page Number

190-193

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Title

A Counterpart Approach to Attendance and Feedback System using Machine Learning Techniques

Abstract

Education is one of the wisest aspect that is required to everyone in this country .In this regard as technology widens its width and length especially the paper work is replaced with the technology. As machine learning is one of the domains that deals with the both aspects we need a system that coordinate with the technology which reduces the human effort .Here in this paper we have mentioned an idea that combines two technologies with machine learning approaches.

Key Words

Machine learning , Attendance, technology Methodology.

Cite This Article

"A Counterpart Approach to Attendance and Feedback System using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.190-193, December-2018, Available :http://www.jetir.org/papers/JETIRQ006038.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

"A Counterpart Approach to Attendance and Feedback System using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp190-193, December-2018, Available at : http://www.jetir.org/papers/JETIRQ006038.pdf

Publication Details

Published Paper ID: JETIRQ006038
Registration ID: 193339
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 190-193
Country: INDIA, INDIA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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