AI for Plagiarism Detection

Grammarly primarily focuses on text-based plagiarism detection and does not analyze code syntax or image-based diagrams. For code plagiarism, engineering students should use specialized tools like MOSS (Measure of Software Similarity) or JPlag that compare programming logic and structure. However, Grammarly effectively checks explanatory text around code blocks, algorithm descriptions, and technical documentation accompanying your implementations.

Grammarly scans billions of web pages and published content but may not access the same institutional databases and student paper repositories that Turnitin maintains through university partnerships. According to comparative studies, Grammarly typically shows 5-10% lower similarity scores than Turnitin for the same document. Students should treat Grammarly as a preliminary check before institutional submission rather than a complete replacement for university-mandated tools.

Yes, Grammarly Premium allows uploads up to 100,000 words per document, easily accommodating most undergraduate project reports of 80-100 pages. The plagiarism scan typically completes within 3-5 minutes for documents of this length. For faster processing during deadline pressure, consider checking individual chapters separately, focusing first on literature review and methodology sections where plagiarism risks are highest.

Grammarly provides student discounts of approximately 20-30% off the regular Premium subscription when verified through platforms like UNiDAYS or Student Beans using your college email ID. Many IITs and NITs also negotiate institutional licenses that provide free Grammarly Premium access to all enrolled students. Check with your college library or academic office for existing institutional subscriptions before purchasing individual plans.

Grammarly's AI detection analyzes semantic similarity, not just exact word matches, so poorly paraphrased content that retains original sentence structure may still get flagged. Effective paraphrasing requires changing both vocabulary and sentence construction while maintaining technical accuracy. After paraphrasing technical concepts from IEEE papers or textbooks, run another plagiarism check to verify your rewritten version shows acceptable similarity levels below your university's threshold, typically 15-20%.

Grammarly currently supports plagiarism detection primarily in English and does not effectively scan documents written in Hindi, Tamil, Telugu, or other regional languages. Engineering students submitting reports in regional languages for state university requirements need alternative tools. However, if your document contains English technical terminology mixed with regional language explanations, Grammarly will check only the English portions against its databases.

For GitHub code references, include the repository URL, author username, project name, and access date in IEEE citation format. Stack Overflow answers should cite the question title, answerer's username, posting date, and direct link. Grammarly's citation tool does not automatically generate these web source formats, so manually create citations following your university's prescribed format, then verify through Grammarly that you have acknowledged all adapted code or solutions.

Most engineering colleges set plagiarism thresholds between 15-20% for undergraduate projects, with stricter limits of 10% for M.Tech thesis submissions. This percentage typically excludes bibliography, table of contents, and standard technical definitions. Grammarly displays overall similarity percentage and allows you to review matched sources individually, helping you identify whether flagged content consists of common technical phrases versus actual copied material requiring citation or rewriting.