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@article{175972,
        author = {Khushboo Joshi and Khushi Saini and Ayush Tyagi and Harshit Sharma and Hemant Kumar Bharadwaj},
        title = {Personality Prediction System based on CV and Quiz Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {4735-4740},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175972},
        abstract = {Recruiting the right candidate is a challenge due to the high volume of job applications and the limitations of traditional resume screening. This study introduces an automated personality prediction system that leverages Support Vector Machine (SVM) for classification and Natural Language Processing (NLP) for text analysis.
This system extracts key resume features, such as skills and language patterns, to infer personality traits and enhance hiring accuracy. A quiz-based assessment further refines personality evaluation. Comparative analysis highlights SVM’s effectiveness in personality classification. This approach helps HR professionals make data-driven hiring decisions, reduces bias, and improves efficiency.},
        keywords = {Personality Prediction, Machine Learning, Recruitment, SVM, NLP, Resume Analysis, Personality Assessment.},
        month = {April},
        }