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AI Based E-Assessment System

EasyChair Preprint no. 2905, version 2

Versions: 12history
7 pagesDate: March 18, 2020


We have seen that a number of students apply for various examinations which may be institutional, non-institutional or even competitive. The competitive exams mostly have objective or multiple choice questions(mcqs). The automation of scoring of subjective or descriptive answers is a need considered nowadays. This paper focuses on designing  an efficient algorithm that will automatically evaluate the answers given by students and assign a score based on the AI technologies which are as good as scores given by a human being.

Keyphrases: descriptive, e-assessment, grammar, Online Subjective Answer Checker, similarity

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Saloni Kadam and Priyanka Tarachandani and Prajakta Vetal and Charusheela Nehete},
  title = {AI Based E-Assessment System},
  howpublished = {EasyChair Preprint no. 2905},

  year = {EasyChair, 2020}}
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