Plagiarism Detection

Plagiarism Detection

Miss. Rutuja Gaikwad1, Miss. Priyanka Jawale2, Miss. Divya Shinde3, Mr. Amol Patil4

1 Student, Dept. Information and Technology, A. C. Patil college of engineering, Maharashtra, India

2 Student, Dept. Information and Technology, A. C. Patil college of engineering, Maharashtra, India

                                    3 Student, Dept. Information and Technology, A. C. Patil college of engineering, Maharashtra, India

                    4 Professor, Dept. Information and Technology, A. C. Patil college of engineering, Maharashtra, India

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Abstract - As technology advances faster and also the use of computer systems increases compared to past, cheating may be a growing trend. Misappropriation of another person's work is understood as cheating. Personal detection of cheating is difficult so this process should be automated. There are various tools that may be wont to detect cheating. Some work on internal copying while others work on external copying. data processing could be a field which will help detect cheating and may help improve process efficiency. Various data processing methods is wont to detect cheating. Text digging, merging, bigram, tri-grams, n-grams are ways in which can help during this process.
Cheating severely damages the academic process in many ways, while preventing students from developing creativeness and important analysis skills and undermining trust between teachers and students. additionally, if cheating isn't detected, it's going to affect the reputation of the tutorial institution and reduce its values. Therefore, cheating requires discovery.

Key Words:  technology, data processing, plagiarism, technique.