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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60081

TalentBridge AI: An Explainable Semantic and Generative Intelligence Framework for Recruitment Optimization and Skill Readiness Assessment

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60081

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem60081

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VK

Viraj Khanvilkar

JP

Jai Punde

AP

Abhishek Paradkar

PMP

Prof. Mahendra Patil

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Abstract

The exponential digitization of recruitment workflows has introduced unprecedented scale into candidate screening pipelines, rendering manual evaluation both computationally infeasible and operationally inefficient. While Applicant Tracking Systems have become ubiquitous in mitigating screening  overhead, most contemporary implementations rely on lexical

KEYWORDS

matching and Boolean rule

Cite This Article

Viraj Khanvilkar, Jai Punde, Abhishek Paradkar, Prof. Mahendra Patil, "TalentBridge AI: An Explainable Semantic and Generative Intelligence Framework for Recruitment Optimization and Skill Readiness Assessment," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem60081

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Publication Date

4/13/2026

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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