Design of a college student electronic homework plagiarism detection system based on SimHash algorithm and document feature similarity analysis

In the era of digitization and widespread access to information, in order to create a good academic atmosphere, promote academic integrity, and ensure the authenticity and originality of electronic homework, a plagiarism checking system for college students has been designed. The system uses a combination of natural language processing algorithm SimHash and electronic document attributes to detect similarities between submitted tasks. By analyzing document attribute characteristics and document content similarity, the system can accurately and efficiently identify potential plagiarism behaviors. This system is developed using the SSM framework, and the MariaDB relational database management system stores industry data. The system allows teachers to create courses, assign homework, and check homework plagiarism. Students can check homework online, submit homework, and view homework grades. The application results of this electronic homework plagiarism checking software in the course of Database Principles and Applications show that teachers can quickly learn about student homework plagiarism, objectively evaluate the quality of student homework completion, and also play a warning role for students. It improves the learning atmosphere, promotes the healthy growth of students, and adapts to the development trend of digital teaching assistance software in the era of artificial intelligence.