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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Persona of an individual strikes out as a very crucial part in the development and growth of an organization as well as one’s individual growth. Out of many, one of the stereotypical strategy of speculating an individual’s personality is either by the usual general inspection or by inspecting an individual’s Curriculum Vitae. The traditional method for the recruitment procedure of a candidate is nonautomatic(manual) pre-selection of the individuals resume trying to seek job with respect to the prerequisite specified by the organization. With this work, the goal primarily is to design a system that that carries out the operation of separating candidates based on eligibility criteria and persona estimation in a recruitment process automatically. Hence to satisfy the requirements of the work proposed above, a webpage that operates online is advanced for the enrolment of candidate’s information and investigation of an individual’s personality via a persona questionnaire in the form of an online multiple choice questions test. With respect to all of this the proposed system then inspects proficient aptness by analyzing the datasets that are trained of the CV/Resumes uploaded by the applicants. The indicated work incorporates two machine learning algorithms which are “Logistic Regression” and “Random Forest Classifier” which fairly help to select a candidate for the recruitment procedure. Consequently the outcomes of the persona questionnaires are to be sent to the candidate as well as the governor of the indicated system respectively.
Keywords:
Automatic recruitment procedure, Persona questionnaires, OCEAN, Machine Learning, Persona investigation, Random Forest Classifier.
Cite Article:
"Decoding Job Candidates: Forecasting Personas Using Resume/Curriculum Vitae Analysis.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1705 - 1709, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305267.pdf
Downloads:
000222061
Publication Details:
Published Paper ID: IJSDR2305267
Registration ID:206688
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1705 - 1709
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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