Paper Title

Online Subjective Answer Verifying System using Artificial Intelligence

Authors

Mustakim Salim Pathan , Rushikesh Dilip Kekane , Sahantanu Gopinath Walunj , Priya Dinesh Khakorde , Pooja Santosh Bhadke

Keywords

Subjective Answer Evaluation, Big Data, Machine Learning, Natural Language Processing, Word2vec.

Abstract

Every year boards and universities exams are conducted offline mode. Large number of students attend subjective type exam. For evaluation of such large number of papers manually required hard efforts. Sometimes quality of evaluation may change according to mood of evaluator. The evaluation work is very lengthy and time consuming. Competitive and entrance exams typically contain objective or multiple-choice questions. These exams are evaluated on machine as they conducted on machine and therefore their evaluation is easy. It also saves multiple resources and human interaction and hence it is errorless. There are multiple system are available for evaluation objective (MCQ) type question but there is no provision for subjective (Descriptive) type question. It will be very helpful for educational institutions if the process of evaluation of descriptive answers is automated to capably assess student’s exam answer sheets.

How To Cite

"Online Subjective Answer Verifying System using Artificial Intelligence", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.999 - 1001, November-2022, Available :https://ijsdr.org/papers/IJSDR2211148.pdf

Issue

Volume 7 Issue 11, November-2022

Pages : 999 - 1001

Other Publication Details

Paper Reg. ID: IJSDR_202769

Published Paper Id: IJSDR2211148

Downloads: 000347272

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2211148

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2211148

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

Article Preview

academia
publon
sematicscholar
googlescholar
scholar9
maceadmic
Microsoft_Academic_Search_Logo
elsevier
researchgate
ssrn
mendeley
Zenodo
orcid
sitecreex