CampusHire: An AI-Powered Training and Placement Management System with Explainable Skill Matching

Hirole, Amit; Talokar, Om; Chandekar, Sejal; Hage, Sakshi; Tiwari, Komal

doi:https://doi.org/10.55041/ijcope.v2i10.037

Published on: October 2026

CAMPUSHIRE: AN AI-POWERED TRAINING AND PLACEMENT MANAGEMENT SYSTEM WITH EXPLAINABLE SKILL MATCHING

Amit Hirole Om Talokar Sejal Chandekar Sakshi Hage Komal Tiwari

Department of Computer Science and Engineering

Guru Nanak Institute of Engineering and Technology

Nagpur, Maharashtra, India

DOI:https://doi.org/10.55041/ijcope.v2i10.037

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Abstract

Campus training and placement (T&P) activities in many engineering institutions are still coordinated through spreadsheets, e-mail and notice boards, which makes eligibility checks, shortlisting and placement reporting slow and error-prone and gives students little guidance on which opportunities suit them. This paper presents CampusHire, a web-based T&P management system that brings students, recruiters, training and placement officers and administrators onto a single role-based platform and adds an explainable skill-matching engine. The engine normalizes the skills recorded in each student profile and job posting, filters postings on academic eligibility and application deadline, and ranks the remaining postings by a skill-coverage score: the percentage of a job’s required skills that the student already holds. Because the score is computed from the set of missing skills, the same computation produces a skill-gap report that tells each student what to learn for a target role. The system is implemented with HTML5, CSS3, JavaScript and Bootstrap on the client, PHP on the server and a relational MySQL schema, and protects data with bcrypt password hashing, prepared SQL statements, session hardening and role-based access control. A worked example run on the implemented matching functions shows that ineligible postings are excluded before ranking and that, unlike the Jaccard index, the coverage score is not lowered when a student lists additional unrelated skills. CampusHire offers institutions a transparent, low-cost foundation that can be extended with semantic skill matching and placement analytics.

Index Terms—Campus recruitment, content-based recommendation, explainable matching, job recommendation, placement management system, role-based access control, skill-gap analysis, web application.

How to Cite this Paper

Hirole, A., Talokar, O., Chandekar, S., Hage, S. & Tiwari, K. (2026). CampusHire: An AI-Powered Training and Placement Management System with Explainable Skill Matching. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(10), 1-9. https://doi.org/10.55041/ijcope.v2i10.037

Hirole, Amit, et al.. "CampusHire: An AI-Powered Training and Placement Management System with Explainable Skill Matching." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 10, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i10.037.

Hirole, Amit,Om Talokar,Sejal Chandekar,Sakshi Hage, and Komal Tiwari. "CampusHire: An AI-Powered Training and Placement Management System with Explainable Skill Matching." International Journal of Creative and Open Research in Engineering and Management 02, no. 10 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i10.037.

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•Published on: Oct 07 2026

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