Plagiarism Detector using Long Term Common Tracking

In this paper, we will build a cheat detector that scans the text file and divides the binary; Labeling the file as it is written depends on how well the text file matches the source text. Fraud is an effective area of research; Function is not important and the difference between alternately inserted answers and actual function is usually small. This paper is designed with three sections: Data Exploration, Feature Engineering and Training. In this paper we have detailed the terms and conditions of transparency found in our research. We hope to help improve the quality of education in this field and to be involved in solving certain problems in the higher education system (with our questionnaire support and trust results).