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@article{171690,
        author = {Dr. Mahesh B. Gunjal and Tejal P. Thorat and Khushi S. Muttha and Vaishnavi C. Shete and Pragati D. Sagar},
        title = {A Review Paper on Resume Parser Using AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {937-942},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171690},
        abstract = {This review paper explores advancements in automated resume parsing and its implications for recruitment processes. It focuses on integrating Natural Language Processing (NLP) and machine learning techniques. With increasing volumes of resumes, efficient and accurate parsing is critical. This paper synthesizes methodologies, such as Named Entity Recognition (NER), regular expressions, and layout-aware parsing, and assesses their potential improvements for future applications.},
        keywords = {Named Entity Recognition (NER), Natural Language Processing (NLP), Pattern Matching, Regular Expressions (Regex), Resume Parser},
        month = {January},
        }