Machine Learning based Plagiarism Detection for Textual and Visual Content

This paper develops an advanced plagiarism detection system that analyzes both text and images to tackle multimedia plagiarism. It utilizes machine learning, NLP, and CNNs to ensure precise detection across various formats. The system offers user-friendly features like personalized accounts, notifications, and feedback while prioritizing data privacy and ethical standards. Designed to protect intellectual property, it helps maintain academic integrity and originality. Its applications extend to education, journalism, and creative industries. By integrating cutting-edge technology, the system provides a reliable solution for detecting plagiarism.