Academic Admission Process using Machine Learning

Academic Admission Process using Machine Learning

Kirti Karande1, Shaikh Abdul Ahad2, Bilal Qureshi3, Kaldane Abdussalam4, Shaikh Afsana5

Department of Artificial intelligence and Machine Learning , Anjuman I Islam Abdul Razzaq Kalsekar

Polytechnique, Panvel, India – 410206

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