Resume Parser and Auto-Formatter Using NLP
DOI:
https://doi.org/10.63345/Keywords:
Resume Parsing, Auto-Formatting, Natural Language Processing, Named Entity Recognition, Applicant Tracking SystemsAbstract
In the contemporary recruitment ecosystem, organizations face an overwhelming influx of resumes for each job opening due to the rapid adoption of online job portals, global job boards, and remote work opportunities. Traditional manual screening is not only time-consuming but also vulnerable to inconsistency, bias, and human error, resulting in delayed hiring and overlooked qualified candidates. This study introduces a comprehensive Resume Parser and Auto-Formatter framework that leverages Natural Language Processing (NLP) to automate both semantic extraction and professional formatting of resumes.
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