Orgina-Academic Integrity Checker

Rajalekshmi R, Jogimol Joseph

Abstract: ORGINA is a web-based application designed to streamline the process of assignment submission, plagiarism detection, and performance analysis for students. The system aims to provide an efficient platform for students to register, upload assignments, and check for plagiarism. The application will enable students to receive detailed reports on the level of plagiarism in their work, aiding them in improving the quality and originality of their assignments. For administrators, the system provides functionalities to manage subjects, create assignment topics, and analyze students' submitted assignments. Through advanced plagiarism detection techniques, including tokenization, TF-IDF feature extraction, and cosine similarity calculation, the system can effectively detect and report similarities between documents. Additionally, the system will use the efficient Rabin-Karp algorithm for text matching to ensure high accuracy in plagiarism detection. The system's performance heavily relies on the quality and quantity of data processed. To optimize this, different plagiarism-checking algorithms will be tested, and the best-performing one will be integrated into the final system. With a user-friendly interface and a robust back-end built with Django, this application will help improve the academic integrity and performance tracking of students, providing both students and administrators with valuable insights into assignment submissions.

Keywords: Academic integrity, plagiarism detection, Django, TF-IDF, Cosine similarity, Rabin-Karp algorithm