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Original Article

AI-Powered Interview Evaluation and Resume Analysis System

  • Paper ID 422
  • Volume 6, Issue 6
  • Pages 88-94
  • Published Online: November-December 2026
Open Access Peer Reviewed Crossref DOI

Authors

  • Prof. Vinutha D1
  • Kiran2
  • Vikas D R3
  • Lingraju K H4
  • Musharaf A5

1 Assistant Professor, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India. 2 3 4 5 Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India.

Article Information

Published Online
November-December 2026
Pages
88-94
Article Type
Original Article
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Abstract

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Traditional recruitment processes take a lot o[ time, e(ort and consistency because they rely on manual resume screening, subjective interview judgment rind multiple evaluation stages. Recruiters often difficult to compare large numbers of candidates fairly, verify identity before online assessments, and produce structured hiring decisions, which leads to delay, bias end increased workload. To solve these problems, an Al-powered interview evaluation and resume analysis system is developed. Candidates con upload resumes, verify identify using ID card end live selfie matching, and appear (or role-based interviews containing MCQ, theory and coding questions. The system automatically extracts resume details, matches skills with job requirements, evaluates answers, and generates ranked reports with recommendations. This makes recruitment [aster, fairer, more secure and easier for recruiters, HR teams end academic evaluators.

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  • CrossRef DOI
  • ISSN 2583-1240
  • Open Access
  • Peer Reviewed
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