Paper Title
Survey On Automated Answer Sheet Evaluation and Grading System
Article Identifiers
: 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.
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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: 000122257
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: Bangalore, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2406145.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406145
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