AN OFFLINE PLAGIARISM CHECKER

Abstract

Plagiarism detection has always been a great difficulty to manage and control. Many techniques have been introduced in the past years to aid teacher detect plagiarism in student's submission. By evaluating existing research, we will be working on offline plagiarism checker that will help teachers to detect the plagiarized content among the student's assignment and papers. We will be studying machine learning algorithm such as K nearest neighbor, Cosine similarity, CNN and Naive Bayes algorithm to detect the plagiarism line wise and will implement the best algorithm. Furthermore, we will be discussing our test result of our proposed project by using some datasets and will find the accuracy of our proposed project using python language