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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM30126

Academic Admission Process using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM30126

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM30126

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KK

Kirti Karande

SAA

Shaikh Abdul Ahad

BQ

Bilal Qureshi

KA

Kaldane Abdussalam

SA

Shaikh Afsana

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Abstract

In the world of education there are students who passed out from 10th standard and want to get admission in Polytechnic college but they don’t have any information about admission process and they go different places for counselling to choose the streams and get the admission in colleges and also they face a problem to select colleges at the time of filling polytechnic admission form, because they don’t know how many percents chances they have to getting admission in the college as per their percentage and college cut off and if they put colleges names in the admission form which cut off is greater than the student’s percentage, they don’t get admission in that colleges. so basically, we create a Diploma Admission process using Machine Learning website which Name is DipEduguide, in this project we give you all information about Diploma Admission process and also create one college predictor model using Machine learning who predict the college and branches names as per student’s percentage. This Machine learning model is very useful, profitable and time saving for the students, if student use this our machine learning model college predictor for their admission, then the chances to get admission in the college will increase.

KEYWORDS

Diploma Admission Process College Predictor model Machine learning

Cite This Article

Kirti Karande, Shaikh Abdul Ahad, Bilal Qureshi, Kaldane Abdussalam, Shaikh Afsana, "Academic Admission Process using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM30126

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Publication Date

12/31/45385

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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