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@article{195529,
        author = {Umamaheswararao Mogili},
        title = {Web Based Syllabus to Skill Mapping System Using Machine Learning and Natural Language Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {391-398},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195529},
        abstract = {The rapid growth of technology has increased the demand for graduates with practical and industry-relevant skills in addition to academic knowledge. However, many students face challenges due to the gap between university curricula and current industry requirements. To address this issue, this research proposes a Web-Based Syllabus to Skill Mapping and Skill Gap Analysis System that uses machine learning and natural language processing techniques to analyze academic syllabus content and identify missing industry skills. The system allows users to upload syllabus documents, which are processed using Natural Language Processing (NLP) methods to extract important topics and keywords. These extracted topics are compared with an industry skill database using TF-IDF vectorization and cosine similarity techniques to measure their relevance. Based on this comparison, the system identifies covered skills, missing skills, and calculates the overall skill coverage percentage. Furthermore, the platform generates skill gap reports and provides recommendations that help students improve their technical competencies. The system is implemented using Django for backend processing, a relational database for data storage, and web technologies for user interaction. By combining curriculum analysis with skill evaluation, the proposed system helps students understand their readiness for industry requirements and supports better career preparation.},
        keywords = {Machine Learning, Natural Language Processing (NLP), TF-IDF Vectorization, Cosine Similarity, Curriculum Analysis.},
        month = {April},
        }