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@article{201057,
        author = {Mrs. J. Veerendeswari and Ms. Hanshika M and Ms. Akkshya M and Ms. Varshini N and Ms. Gunasalini J},
        title = {IntelliPlagiarism: A Multi-Layered Security Framework for Automated Content Verification and User Authentication},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {no},
        pages = {295-298},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201057},
        abstract = {Our study introduces IntelliPlagiarism, a platform built to bridge the gap between similarity detection and access security. While many current tools focus solely on the matching algorithm, we found that unauthorized access remains a major risk. To solve this, our system integrates a mandatory multi-channel OTP verification layer. The architecture utilizes a centralized controller to manage distinct user roles, ensuring that only verified individuals can access sensitive reporting data. By combining automated AI-driven analysis with a robust identity gate, IntelliPlagiarism offers a scalable solution for maintaining integrity in modern academic environments.},
        keywords = {Plagiarism Detection, Multi-factor Authentication, OTP Security, Academic Integrity, Flask Framework.},
        month = {May},
        }