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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: University Admit Eligibility Predictor Using Machine Learning
Authors Name: Jeeva Jyothi S , Afrinbanu A , Keerthi Bindu B , Kiruthika D N , Prof. Ganeshen P
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IJRTI_186367
Published Paper Id: IJRTI2304250
Published In: Volume 8 Issue 4, April-2023
DOI:
Abstract: Every High School student after completing their schooling searches for a university to join. Most Indian Universities consider the student’s cut-off marks as an eligibility criterion for admission. But as the student are moving from school to a university located in India, they are unaware of the eligibility criteria for university admissions. There are many time and money-consuming processes for knowing this information. So, we have come up with a predictive model and an application that helps the student to know their eligibility criteria for their preferred university. This application gets the preferred university, department, cut-off, and city as input. Then with the help of the user input, the model predicts whether the student is eligible for that university. The model is predicted using the machine learning model Support Vector Machine a Classification algorithm.
Keywords: Support Vector Machine, Preferred University, cut-off, eligibility criteria, Indian Universities.
Cite Article: "University Admit Eligibility Predictor Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1523 - 1527, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304250.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2304250
Registration ID:186367
Published In: Volume 8 Issue 4, April-2023
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Page No: 1523 - 1527
Country: Salem, Tamil Nadu, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304250
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304250
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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