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Plagiarism Detector

This project - currently a Proof of Concept - is a plagiarism detector that utilises Machine Learning, and it was made for BigRedHacks.

Why?

Currently, plagiarism detectors rely on direct quotation to catch someone, but plagiarism is not bound to just quoting without citation! One of the most common, but hardly combatted, areas of Plagiarism is paying for someone else to write a paper for you. The reason why it's rarely combatted is the difficulty in proving it. That does not mean, however, that the teacher is unaware. More often than not, a teacher can tell when a paper has been forged due to the change - even if subtle - of writing style. This was the inspiration for this project. This project aims to act as a tool for teachers to prove that someone has used a forged paper by creating a literary footprint of the student and applying machine learning to determine the similarity (or lackthereof) in the writing style of a new paper.

Areas for improvement:

1. Currently, although functioning, some false-positives are produced, which is obviously unacceptable.
2. The application currently is a desktop application - written in python and C#, a WPF application. Although functioning, I'd like to move the python to a server and have a web-interface for the teachers - removing any need to install python modules, etcetera.
3. I'd like to implement a RNN (Recurrent Neural Network) so that essays written longer ago are valued less than more recent ones.

Built With

• c#
• python