Paper Title

Survey On Automated Answer Sheet Evaluation and Grading System

Article Identifiers

Registration ID: IJNRD_223418

Published ID: IJNRD2406145

DOI: Click Here to Get

Authors

Sejal Kaur Virdi , Harshit Wadhwani , Deepti Hegde , Aditya Bhardwaj , Sandhya N

Keywords

Machine Learning (Transformer), Natural Language Processing (NLP), Optical Character Recognition (OCR)

Abstract

In the dynamic landscape of education, the demand for innovation and efficiency has never been more critical. Our project endeavors to offer an effective solution to the time constraints and excessive efforts experienced by teachers and professors within the education system. The core objective is to liberate educators from the burdensome process of grading handwritten scripts, enabling them to channel their time and efforts toward refining pedagogical techniques and fostering a more engaging learning environment. Using techniques like image processing, OCR, NLP (embedding and similarity matching), and ML (Transformer) we can achieve automated evaluation and grading of handwritten scripts with great accuracy. The amalgamation of these technologies promises a transformative impact on the education sector, enhancing efficiency, objectivity, and consistency in the evaluation process.

How To Cite (APA)

Sejal Kaur Virdi, Harshit Wadhwani, Deepti Hegde, Aditya Bhardwaj, & Sandhya N (June-2024). Survey On Automated Answer Sheet Evaluation and Grading System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), b426-b433. https://ijnrd.org/papers/IJNRD2406145.pdf

Issue

Volume 9 Issue 6, June-2024

Pages : b426-b433

Other Publication Details

Paper Reg. ID: IJNRD_223418

Published Paper Id: IJNRD2406145

Downloads: 000121983

Research Area: Computer Science & Technology 

Country: Bangalore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2406145.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406145

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

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Subject Category: Research Area

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