The goal in this project was to build a plagiarism detector to classify text files as either plagiarized or not depending on how similar it is to a provided source text. To accomplish this, I defined features for comparing the similarity of an answer text and a source text, and selected features by analyzing the correlations between them. Then, created a binary classification model, trained and deployed it using Amazon SageMaker. Finally, I calculated the accuracy of the final model (obtained 0.960 accuracy).