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@article{180368,
        author = {Muthu Kumar},
        title = {AI-Based Resume Analyzer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1215-1219},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180368},
        abstract = {In the modern recruitment process, organizations face significant challenges in identifying suitable candidates from a large volume of applications. Traditional manual screening is time-consuming, error-prone, and susceptible to bias. This paper proposes an AI-Based Resume Analyzer that leverages Natural Language Processing (NLP) and Machine Learning (ML) to automate resume screening and job role matching. The system allows candidates to upload resumes, extracts relevant information such as skills, education, and experience, and computes a match score against job descriptions provided by recruiters. Developed using Python and React.js, the system ensures bias-free, efficient, and transparent hiring.},
        keywords = {Resume Analyzer, NLP, Machine Learning, Recruitment Automation, Resume Matching, Skill Gap Analysis},
        month = {June},
        }