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IJSDR
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
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Personality Prediction System Through CV Analysis
Authors Name: Namrata Ramesh Satelkar , Arati Ashok Sawant , Madhuri Vishnu Vengurlekar , Vaibhavi Ganpat Sawant
Unique Id: IJSDR1904033
Published In: Volume 4 Issue 4, April-2019
Abstract: This system can used in many business sectors that may require expert candidate. This system will reduce workload of the human resources. This system will help the human resource to select right candidate for desired job profile, which in turn provide expert workforce for the organization. Admin can easily shortlist a candidate based on their online test marks and select the appropriate candidate for particular job profile. This will enable a more effective way to short list submitted candidate CVs from a large number of applicants providing a consistent and fair CV ranking policy, which can be legally justified. Using Natural Language Processing (NLP) can be defined as a process that enables a machine to become more like a human, hence slashing the distance between machines and humans. In this field challenges like understanding the NLP i.e. permitting the machines to understand the natural language of humans are faced. This system will help the HR dept. to easily shortlist the candidate based on their CV ranking policy. This system will focus not only in qualification and in experience but also focuses on other important aspects, which are required for particular job position.
Keywords: personality prediction system, scan cv, NLP system
Cite Article: "Personality Prediction System Through CV Analysis", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 4, page no.139 - 142, April-2019, Available :http://www.ijsdr.org/papers/IJSDR1904033.pdf
Downloads: 000336257
Publication Details: Published Paper ID: IJSDR1904033
Registration ID:190318
Published In: Volume 4 Issue 4, April-2019
DOI (Digital Object Identifier):
Page No: 139 - 142
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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