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@article{191208,
        author = {A. Sandiya Mary and A. Anandhi},
        title = {COURSE RECOMMENDATION SYSTEM USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {6410-6414},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191208},
        abstract = {The rapid growth of online learning platforms has provided learners with access to a wide range of courses across various domains. However, the absence of structured guidance often leads to confusion in course selection and learning sequence. To address this issue, this paper presents Outline Analyzer, an intelligent course recommendation and learning path management system. The proposed system assists learners by organizing courses into well-defined learning paths based on domain relevance and career orientation. The system is developed using a web-based architecture that enables efficient course management, user interaction, and administrative control. By reducing information overload and providing systematic learning guidance, Outline Analyzer enhances learning efficiency and user engagement. The system demonstrates how intelligent content organization can significantly improve decision-making in digital education platforms.},
        keywords = {},
        month = {January},
        }