• Prof.T.K. Thivakaran
• Abhishek Uniyal
• Somnath
• Anah Veronica

The main objective of the project is to improve the accuracy of plagiarism detection by using the power of Natural Language Processing (NLP). The Smith-Waterman algorithm used in this project performs local sequence alignment to determine similar regions between the two strings taken into account. NLP can be used to analyse the text and compare if two articles mean the same as a whole. This method surpasses its contemporary plagiarism detection tool options which compares the texts of the article in question to the texts of the sources available.

Artificial intelligence, NLP, Natural Language Processing, Plagiarism, Smith-Waterman algorithm, algorithm.

"Plagiarism detection Using NLP (Natural Language Processing) with Smith-waterman algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.416-418, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06094.pdf

"Plagiarism detection Using NLP (Natural Language Processing) with Smith-waterman algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp416-418, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06094.pdf