UGC Approved Journal no 63975(19)

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

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2204491


Registration ID:
400874

Page Number

e687-e692

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Title

STUDENT PERFORMANCE ANALYSIS STYTEM BY USING ARTIFICIAL INTELLIGENCE

Abstract

In today’s world technology has reached to extent that it can be used to do various task in day-to-day life easily with less effort and time. Today’s world has realized importance of education in one’s life which has led to development in field of education. In today’s life Universities, colleges, schools have load of tasks in given period of time. In today’s scenario colleges needs to analyse student performance manually which takes a lot of time and effort by faculties working on it. Hence to reduce this difficulties or simplify this task a web-based system is introduced which can perform student performance analysis system. Student Performance Analysis System provides a communication/interaction between parents and schools. It will give the proper feedback of the student to the parents than can be used for attention to students in study.

Key Words

Analysis, HTML, CSS, PHP, JavaScript, graph, Machine learning, Student performance analysis system.

Cite This Article

"STUDENT PERFORMANCE ANALYSIS STYTEM BY USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.e687-e692, April-2022, Available :http://www.jetir.org/papers/JETIR2204491.pdf

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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

"STUDENT PERFORMANCE ANALYSIS STYTEM BY USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppe687-e692, April-2022, Available at : http://www.jetir.org/papers/JETIR2204491.pdf

Publication Details

Published Paper ID: JETIR2204491
Registration ID: 400874
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: e687-e692
Country: Bhor, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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