Open Access   Article Go Back

Automating the Centralised Admission Process with Analytical Platform

Salvador Fernandes1 , Ruchi Ghantkar2 , Pranita Desai3 , Megha Nayak4

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-10 , Page no. 28-31, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6si10.2831

Online published on Nov 30, 2018

Copyright © Salvador Fernandes, Ruchi Ghantkar, Pranita Desai, Megha Nayak . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Salvador Fernandes, Ruchi Ghantkar, Pranita Desai, Megha Nayak, “Automating the Centralised Admission Process with Analytical Platform,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.10, pp.28-31, 2018.

MLA Style Citation: Salvador Fernandes, Ruchi Ghantkar, Pranita Desai, Megha Nayak "Automating the Centralised Admission Process with Analytical Platform." International Journal of Computer Sciences and Engineering 06.10 (2018): 28-31.

APA Style Citation: Salvador Fernandes, Ruchi Ghantkar, Pranita Desai, Megha Nayak, (2018). Automating the Centralised Admission Process with Analytical Platform. International Journal of Computer Sciences and Engineering, 06(10), 28-31.

BibTex Style Citation:
@article{Fernandes_2018,
author = {Salvador Fernandes, Ruchi Ghantkar, Pranita Desai, Megha Nayak},
title = {Automating the Centralised Admission Process with Analytical Platform},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {06},
Issue = {10},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {28-31},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=521},
doi = {https://doi.org/10.26438/ijcse/v6i10.2831}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.2831}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=521
TI - Automating the Centralised Admission Process with Analytical Platform
T2 - International Journal of Computer Sciences and Engineering
AU - Salvador Fernandes, Ruchi Ghantkar, Pranita Desai, Megha Nayak
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 28-31
IS - 10
VL - 06
SN - 2347-2693
ER -

           

Abstract

Admission Processes for degree colleges conduct the admissions in courses like Medicine, Dentistry, Engineering, Pharmacy, Architecture, Homeopathy, Bachelor of Science in Nursing, Ayurveda and Allied Health Science. As there is an increase in the number of students to seek admissions in various courses, it causes a terrible pressure on the admission committee to manage and control the admission process when done manually. Hence, our proposed computer-aided system helps the administrative body in various tasks of the admission process which includes a collection of student’s application forms, storing data safely and automatic sorting of data according to various categories etc. The automated computer-aided system facilitates the student to perform tasks online that include form filling and viewing the merit and eligibility list, checking the seat availability at the time of counseling. The system also provides an analytical mock test to the students. The students, who are not sure of which courses they can have a good aptitude at, can answer the same.

Key-Words / Index Term

E-admission, CET, Analytics, Admission process

References

[1] Chandraganga Mirji, Vaibhavi Deshpande, Supriya Walunj, Ankita Ambavane, “E-Admission System”, IOSR Journal of Computer Engineering, Vol.16, Issue.2, pp.01-03, 2014.
[2] Mehul Gupta, K.Kartik Iyer, Mani Ratnam Singh, A.K.Kadam, “Automated Online College Admission Management System”, International Journal of Computer Science Trends and Technology, Vol.5, Issue.3, pp.1-4, 2017.
[3] Abdul Hamid M Ragab, Abdul Fatah S. Mashat, Ahmed M. Khedra, “Design and Implementation of a Hybrid Recommender System for Predicting College Admission”, International Journal of Computer Information Systems and Industrial Management Applications, Vol.6 ,pp. 35 - 44,2012