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@article{175691,
        author = {Aryan Gharat and Yash Dhadve and Yash Yadav and Sujal Chourasiya and Prof. Prachi Sorte},
        title = {OBE Based Attainment Software for Educational Institutions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3527-3530},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175691},
        abstract = {The proposed OBE-Based Attainment System for Educational Institutions leverages Natural Language Processing (NLP) to automate the mapping of questions to predefined course outcomes. The system processes data from educational resources and analyzes input questions using keyword matching and proportional scoring. NLP algorithms are used to identify patterns and evaluate the relevance of questions to course objectives. A scoring mechanism allocates points based on match strength, providing insights into student performance and curriculum alignment. This system enhances accuracy in attainment measurement, reduces manual effort, and enables continuous improvement through automated feedback and performance analysis.},
        keywords = {OBE, Attainment System, NLP, Course Outcome Mapping, Automated Scoring, Performance Analysis},
        month = {April},
        }