Plagiarism involves stealing someone’s work and presenting it as one’s own. This system analyzes plagiarism data by detecting similarities in text, including paraphrased works and keyword overlaps. It utilizes techniques like WordNet to identify similar content. The system measures text similarity and detects plagiarism.The internet has revolutionized students’ lives and learning styles, allowing for deeper engagement with learning materials. Text mining methods are employed for plagiarism detection. Users register with basic details to create a login. Students upload assignments, which are divided into content and reference links. The system processes content, visits each reference link, and compares it with the original content. Students can view their document history and check for grammar mistakes.