• Dr. Anita Dixit
• P N Unnathi
• Rahul J Guttedar
• Suraj More

Plagiarism detection is crucial for upholding academic integrity and ensuring originality in scholarly works. This research paper surveys traditional and contemporary approaches to plagiarism detection, encompassing text-based, document-based, and image-based methods. Additionally, we propose a comprehensive plagiarism checker system that integrates various detection modules, including text, document, and image plagiarism detection, along with a paraphrasing module, web scraping, API integration, and report generation capabilities. By reviewing existing methodologies and introducing our proposed system, this paper contributes to the advancement of plagiarism detection tools, aiming to provide a robust solution for detecting and preventing plagiarism in academic and professional contexts.

Plagiarism Detection, Literature review, Machine learning, Deep learning, Academic Integrity

"Advancements In Plagiarism Detection: A Comprehensive Review And Proposal", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.a367-a370, April-2024, Available :http://www.jetir.org/papers/JETIR2404050.pdf

"Advancements In Plagiarism Detection: A Comprehensive Review And Proposal", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppa367-a370, April-2024, Available at : http://www.jetir.org/papers/JETIR2404050.pdf