Paper Key : IRJ************240
Author: Harshitha R
Date Published: 08 Jul 2024
Abstract
Specialized recruitment companies that use machine learning models to expedite the hiring process and provide their clients with the best personnel have emerged as a result of the expansion of the Indian recruitment market. In order to improve the employment process and make it more equitable and efficient, the suggested model has the potential to benefit from machine learning. You may accurately grade resumes according to the company's criteria and extract useful information from them by applying natural language processing (NLP) techniques. The system presented in this study extracts minute details from a rsum, including education, experience, talents, and experience, using Natural Language Processing (NLP) techniques. Parsing the resume facilitates and expedites the hiring process. Three components comprise the proposed system: an information extraction system, a file upload and parsing system, and an administration management system. The applicant's rsum will be uploaded by the administrator into the system, and pertinent data will be extracted in an organized manner. Based on the demands of the business, HR can choose the ideal applicant for the position using the information that has been parsed from the resume.
DOI Requested