A Readiness-Aware Internship Recommendation and Skill-Gap Analysis System for Students

  • Unique Paper ID: 208969
  • PageNo: 727-735
  • Abstract:
  • Students today have access to so many internship listings than ever, spread across various internship-search platforms, college placement portals, company career pages, government-run schemes. Yet most of these platforms focus primarily on matching and ranking opportunities, while providing limited support for understanding whether a student is actually eligible, which specific requirements they do not satisfy, and what skills they could improve. This paper proposes a conceptual architecture for a readiness-aware internship recommendation and skill-gap analysis system for students. The proposed design compares a student's education, skills, experience, and preferences against internship requirements and extends conventional matching by identifying satisfied and unsatisfied eligibility conditions and highlighting specific skill gaps. Rather than presenting a system that has already been implemented and empirically validated, this paper defines its conceptual architecture, data flow, processing stages, and reasoning logic as a theoretical foundation for future implementation and empirical evaluation. The proposed framework is situated within gaps identified across internship recommendation, explainable matching, and skill-gap analysis research. The architecture therefore provides a basis for future investigation into whether presenting readiness and skill-gap information alongside internship recommendations can help students better understand requirements and make more informed application decisions.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{208969,
        author = {Eshan Metwate and Sairaj Patil and Ayush Toke and Lakhan Hirave and Dr. Sunil Mahajan},
        title = {A Readiness-Aware Internship Recommendation and Skill-Gap Analysis System for Students},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {727-735},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=208969},
        abstract = {Students today have access to so many internship listings than ever, spread across various internship-search platforms, college placement portals, company career pages, government-run schemes. Yet most of these platforms focus primarily on matching and ranking opportunities, while providing limited support for understanding whether a student is actually eligible, which specific requirements they do not satisfy, and what skills they could improve. This paper proposes a conceptual architecture for a readiness-aware internship recommendation and skill-gap analysis system for students. The proposed design compares a student's education, skills, experience, and preferences against internship requirements and extends conventional matching by identifying satisfied and unsatisfied eligibility conditions and highlighting specific skill gaps. Rather than presenting a system that has already been implemented and empirically validated, this paper defines its conceptual architecture, data flow, processing stages, and reasoning logic as a theoretical foundation for future implementation and empirical evaluation. The proposed framework is situated within gaps identified across internship recommendation, explainable matching, and skill-gap analysis research. The architecture therefore provides a basis for future investigation into whether presenting readiness and skill-gap information alongside internship recommendations can help students better understand requirements and make more informed application decisions.},
        keywords = {Readiness-Aware Internship Recommendation, Internship Readiness, Skill-Gap Analysis, Student Decision Support, Student Employability, Career Decision Support},
        month = {September},
        }

Cite This Article

Metwate, E., & Patil, S., & Toke, A., & Hirave, L., & Mahajan, D. S. (2026). A Readiness-Aware Internship Recommendation and Skill-Gap Analysis System for Students. International Journal of Innovative Research in Technology (IJIRT), 727–735.

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