ISSN2320-2882
Impact Factor9.17
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
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Paper Title
SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment
Authors
Bhagyashri R Hanji , Raksha MP , Nidhi Ravindra Bhagwat , Kavana AU
Keywords
Handwritten Text Recognition (HTR), Plagiarism Detection, Automated Grading, Optical Character Recognition (OCR), Deep Learning, Sentence-BERT (SBERT)
Abstract
--- The increasing digitalization of academic workflows has intensified the demand for intelligent systems that can evaluate handwritten assignments with speed, accuracy, and transparency. Traditional plagiarism detection tools are designed for typed text and fail to handle scanned handwritten documents, while manual grading remains subjective, inconsistent, and time-consuming. To address these limitations, this paper presents SmartEval, an integrated deep learning-driven framework for automated plagiarism detection and assignment grading. The system employs Optical Character Recognition (OCR) based on CNN-BiLSTM models with Connectionist Temporal Classification (CTC) loss to convert handwritten text into machine-readable form. The extracted text is processed through a hybrid similarity engine combining TF-IDF, cosine similarity, and contextual embeddings derived from Sentence-BERT to detect paraphrased, semantic, and cross-document plagiarism. Automated grading is performed using a rubric-weighted scoring model enhanced by semantic relevance, coherence evaluation, grammar assessment, and keyword density analysis. Experimental evaluation demonstrates high accuracy in OCR transcription, strong plagiarism detection performance, and grading outcomes that closely correlate with human evaluators. SmartEval offers a comprehensive, scalable, and objective mechanism for evaluating handwritten academic submissions, enhancing academic integrity and reducing educator workload
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IJCRT — journal style
"SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 12, page no.h357-h361, December 2025, Available :https://ijcrt.org/papers/IJCRT2512833.pdf
APA — 7th edition
Hanji, B. R., MP, R., Bhagwat, N. R., & AU, K. (2025). SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment. International Journal of Creative Research Thoughts, 13(12), h357-h361. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512833
MLA — 9th edition
Hanji, Bhagyashri R, et al. "SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment." International Journal of Creative Research Thoughts, vol. 13, no. 12, 2025, pp. h357-h361, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512833.
Chicago — 17th, bibliography
Hanji, Bhagyashri R, et al. "SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment." International Journal of Creative Research Thoughts 13, no. 12 (2025): h357-h361. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512833.
Harvard — author–date
Hanji, B.R. et al. (2025) 'SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment', International Journal of Creative Research Thoughts, 13(12), pp. h357-h361. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512833
IEEE — numbered reference
B. R. Hanji, R. MP, N. R. Bhagwat and K. AU, "SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment," IJCRT, vol. 13, no. 12, pp. h357-h361, Dec. 2025.
Vancouver — biomedical
Hanji BR, MP R, Bhagwat NR, AU K. SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment. IJCRT. 2025 Dec;13(12):h357-h361.
AMA — 11th edition
Hanji BR, MP R, Bhagwat NR, AU K. SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment. IJCRT. 2025;13(12):h357-h361. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512833
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2512833,
author = {Bhagyashri R Hanji and Raksha MP and Nidhi Ravindra Bhagwat and Kavana AU},
title = {SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {12},
pages = {h357-h361},
year = {2025},
month = {December},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512833}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Hanji, Bhagyashri R
AU - MP, Raksha
AU - Bhagwat, Nidhi Ravindra
AU - AU, Kavana
TI - SmartEval: Automatic Plagiarism Detection and Grading for Handwritten Assignment
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 12
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512833
SP - h357-h361
ER -
Issue
Volume 13 Issue 12,
December-2025
Pages : h357-h361
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 12, December 2025
- Pages
- h357-h361
- Published
- December 2025
- Registration ID
- IJCRT_299144
- Published Paper ID
- IJCRT2512833
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Bangalore, Karnataka, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 189
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2512833
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2512833.pdf
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