Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM 2025)

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Semantic – Aware Plagiarism Detection Using Machine Learning

Authors
Mayuri Gawade1, *, Sukhada Dhananjay Raut1, Vyankatesh Anil Revanwar1, Aditya Bhimashankar Ringankar1, Ritesh Deshmukh1, Ritish Pratap Singh1, Atharv Ganesh Relekar1
1Department of Engineering Sciences and Humanities, Vishwakarma Institute of Technology, Pune, India
*Corresponding author. Email: mayuri.gawade@vit.edu
Corresponding Author
Mayuri Gawade
Available Online 29 December 2025.
DOI
10.2991/978-94-6463-950-6_23How to use a DOI?
Keywords
Academic Integrity; Cosine Similarity; Flask; Plagiarism Detection; Semantic Aware; Sentence-BERT; TF-IDF
Abstract

The rapid increase in digital academic content has made plagiarism detection essential for schools and teachers. Most traditional plagiarism tools depend on matching exact phrases, but they often miss content that has been rephrased or is similar in meaning to the original content. This paper introduces a Semantic-Aware Plagiarism Detection System that combines TF-IDF for basic text matching with Sentence-BERT for deeper meaning analysis. By using these methods together and comparing the similarity between the user’s text and known sources through cosine similarity, the system can effectively detect both direct and paraphrased plagiarism. It also provides similarity scores at the sentence level, classifies types of plagiarism such as Exact Copy, Paraphrased, and Original, and includes a simple web interface built with Flask. This approach increases the precision of academic integrity checks and paves the way for upcoming enhancements like analytics dashboards and the generation of PDF reports.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM 2025)
Series
Advances in Intelligent Systems Research
Publication Date
29 December 2025
ISBN
978-94-6463-950-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-950-6_23How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mayuri Gawade
AU  - Sukhada Dhananjay Raut
AU  - Vyankatesh Anil Revanwar
AU  - Aditya Bhimashankar Ringankar
AU  - Ritesh Deshmukh
AU  - Ritish Pratap Singh
AU  - Atharv Ganesh Relekar
PY  - 2025
DA  - 2025/12/29
TI  - Semantic – Aware Plagiarism Detection Using Machine Learning
BT  - Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM 2025)
PB  - Atlantis Press
SP  - 344
EP  - 355
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-950-6_23
DO  - 10.2991/978-94-6463-950-6_23
ID  - Gawade2025
ER  -