Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

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Automatic HR Recruitment System: A MultiStage Evaluation Approach

Authors
Sreerama Murthy Velaga1, Sai Srikara Prabhas Satti2, *, Sai Karthik Balivada2, Harika Atta2, Yaswanth Battula2
1Professor, Dept of CSE, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, 531173, A.P, India
2UG Student, Dept of CSE, Nadimpalli Satyanarayana Raju Institute of Technology, Visakhapatnam, 531173, A.P, India
*Corresponding author. Email: codeprabhas121@gmail.com
Corresponding Author
Sai Srikara Prabhas Satti
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_109How to use a DOI?
Keywords
Natural Language Processing; Machine Learning; Candidate Assessment; Technical Test
Abstract

In response to the challenges of identifying ideal candidates in the dynamic job market, this paper introduces an Automated HR Recruitment System utilizing Natural Language Processing (NLP) and machine learning algorithms. The system automates candidate assessments, ensuring efficiency and precision in overcoming traditional recruitment hurdles. Employing a tailored technical test integrated with real-time NLP analysis expedites evaluations, guaranteeing a comprehensive and unbiased assessment of candidates’ capabilities. The system accelerates candidate screening, enhances accuracy in shortlisting, and offers an intuitive interface for easy customization of screening criteria, aligning with organizational needs. The “Automatic HR Recruitment System” stands as a transformative innovation, providing organizations with a competitive edge in identifying top talent through seamless automation and user customization.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
10.2991/978-94-6463-471-6_109
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_109How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sreerama Murthy Velaga
AU  - Sai Srikara Prabhas Satti
AU  - Sai Karthik Balivada
AU  - Harika Atta
AU  - Yaswanth Battula
PY  - 2024
DA  - 2024/07/30
TI  - Automatic HR Recruitment System: A MultiStage Evaluation Approach
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1143
EP  - 1152
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_109
DO  - 10.2991/978-94-6463-471-6_109
ID  - Velaga2024
ER  -