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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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References

[1] S. Sanyal, S. Hazra, S. Adhikaiy, and N. Ghosh, “Resume parser with natural language processing,” International Journal ofEngineering Science and Computing, 2017, pp. 5192—5195.
[2] S. K. Kopparapu, “Automatic extraction of usable information from unstructured resumes to aid search,” IEEE InternationalConference on Progress in Informatics and Computing (PIC), 2010, pp. 99-103.
[3] S. Maheshwary and H. Misra, “Matching resumes to jobs via deep Siamese network,” Companion Proceedings of The WebConference, 2018
[4] C. Qin et al., “Enhancing person-job fit for talent recruitment: An ability-aware neural network approach,” Proc. ACM SIGIR, 2018,
[5] N. Reimers and I. Gurevych, “Sentence-BERT: Sentence embeddings using Siamese BERT-networks,” Proc. EMNLPIJCNLP, 2019, pp. 3982-3992.
[6] Y. Xu et a1., “LayoutLM: Pre-training of text and layout for document image understanding,” Proc. ACM SIGKDD, 2020, pp.1192-1200.
[7] Z. Ji et al., “Survey of hallucination in natural language generation,” ACM Computing Surveys, vol. 55, no. 12, 2023,pp. 1- 38.
[8] S.Ramirez, “FastAPI Documentation,” https://fastapi.tiangolo.com/.
[9] Meta Platforms Inc., “React Documentation,” https://react.dev/.
[10] Ollama, “Ollama Documentation,” https://o1lama.com/.
[11] SQLite, “SQLite Database Engine — Official Documentation,” https://www.sq1ite.org/.
[12] MongoDB Inc., “Motor: Asynchronous Python Driver for MongoDB,”https://www.mongodb.com/docs/drivers/motor/
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  • CrossRef DOI
  • ISSN 2583-1240
  • Open Access
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