• Shital Patil
• Kshitija Ghogare
• Mrunali Deshmukh
• Bhakti Gunjal
• Prof Ketaki Naik

Today Plagiarism is most common approach taken to complete research, completing college assignments and proving innovation. Sometimes we copy others work as our innovation, for that we copy contents of their work. Real researchers and fake researchers are not identified. This problem occurs in both the cases code as well as text. To identify this problem there are many systems available on web forum but that system having some limitations like they work on either text or code? In the proposed system we are going to develop integrated tool for text and code plagiarism detection system. To solve this problem we have Use Levenshtein Distanceand TF-IDF technique (Term frequency and inverse document frequency). Levenshtein Distancefor Code level and TFIDF for document level. In TF-IDF, it finds importance of words in the form of weight after removing stop words. In this system real time dataset is used which contains documents having text and code.

"INTEGRADTED TOOL DEVELOPMENT FOR TEXT AND CODE PLAGIARISM DETECTION USING TF-IDFAND LEVENSHTEIN DISTANCE ALGORITHM .", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.660-664, May-2019, Available :http://www.jetir.org/papers/JETIR1905298.pdf

"INTEGRADTED TOOL DEVELOPMENT FOR TEXT AND CODE PLAGIARISM DETECTION USING TF-IDFAND LEVENSHTEIN DISTANCE 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. pp660-664, May-2019, Available at : http://www.jetir.org/papers/JETIR1905298.pdf