Paper Key : IRJ************481
Author: Harsh Pratap
Date Published: 14 Nov 2024
Abstract
Evaluating resumes poses a considerable obstacle in the hiring process due to the diverse formats and content found in applicantsdocuments. This study introduces an innovative system, Resume Parser Analyzer, aimed at enhancing the candidate assessment process by extracting crucial information from resumes in PDF and DOC formats. The system employs Natural Language Processing (NLP) and machine learning techniques to recognize and classify vital elements such as personal details, competencies, academic background, and professional history. Furthermore, it offers suggestions to applicants for resume improvement and screens applications according to criteria set by recruiters. This research outlines the creation, structure, and potential uses of the Resume Parser Analyzer, offering a valuable resource for improving recruitment effectiveness.
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