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DOI Prefix: 10.47001/IRJIET

Revolutionizing the Hiring Process with Automated Evaluation and Behavioral Analysis – IntelliHire

Lakshan W.G.KDepartment of Information Technology Specializes in Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaPrabuddhi K.A.VDepartment of Information Technology Specializes in Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaWeerasinghe P.PDepartment of Information Technology Specializes in Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaBandara E.M.L.PDepartment of Information Technology Specializes in Software Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri LankaGamage M.PDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri LankaDe Zoysa R.R.PDepartment of Information Technology, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

Vol 7 No 11 (2023): Volume 7, Issue 11, November 2023 | Pages: 307-314

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 10-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.711042

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Abstract

IntelliHire introduces an advanced automated system to revolutionize candidate evaluation, addressing the limitations of traditional techniques such as biased interviews and manual resume screening. By leveraging cutting-edge technology, IntelliHire provides an impartial assessment of candidates' knowledge, positive mindset, resume content, facial expressions, ethical benchmarks, and language proficiency. This comprehensive method employs diverse components, including contextual resume parsing, facial expressions and personality evaluation, and robust assessments using deep learning models and Machine Learning algorithms. The benefits include reduced bias, enhanced efficiency, cost savings, and refined candidate selection. This research contributes to the evolution of human resources and recruitment strategies, with potential for further development and enhancement of IntelliHire's capabilities.

Keywords

automated evaluation, behavioral analysis, Machine Learning, deep learning, candidate evaluation, non-verbal cues, resume screening, facial expressions, personality evaluation, language fluency, knowledge evaluation, positive mindset evaluation, holistic assessment, unbiased assessment, automated hiring evaluation


Citation of this Article

Lakshan W.G.K, Prabuddhi K.A.V, Weerasinghe P.P, Bandara E.M.L.P, Gamage M.P, De Zoysa R.R.P, “Revolutionizing the Hiring Process with Automated Evaluation and Behavioral Analysis – IntelliHire” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 11, pp 307-314, November 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.711042

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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