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This project aims to develop an NLP-based system to detect and analyze plagiarism in textual content. It utilizes natural language processing techniques to identify similarities between texts, ensuring academic integrity and promoting originality.

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Detection and Analysis of Plagiarism using NLP

Project Title: Detection and Analysis of Plagiarism using NLP Overview: This project aims to develop an NLP-based system to detect and analyze plagiarism in textual content. It utilizes natural language processing techniques to identify similarities between texts, ensuring academic integrity and promoting originality.

Technologies Used:

  1. Python
  2. NLP Libraries (e.g., NLTK) and n-grams
  3. Web Scraping (BeautifulSoup, requests)
  4. Flask
  5. GoogleSearch APIs

The "Detection and Analysis of Plagiarism using NLP" project provides an effective solution to address plagiarism concerns, ensuring academic integrity and promoting ethical writing practices.

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This project aims to develop an NLP-based system to detect and analyze plagiarism in textual content. It utilizes natural language processing techniques to identify similarities between texts, ensuring academic integrity and promoting originality.

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