SmartHire : AI Powered Recruitment & Placement Management System

Abstract

Many colleges use manual profile verification and student shortlisting as a part of their campus placement drives. In such cases several days are taken by the Training and Placement Office (TPO) to complete the process before actual drive. These manual processes usually result in delays in verification of eligibility, problems in identifying candidate-job fitment, and not providing feedback to students about what improvements they need to make. With the above-mentioned constraints, the researchers propose SmartHire, a recruitment and placement management system using AI to aid campus hiring exercises. The developed system uses AI algorithms to analyze the resume of candidate and match it with the job description provided by recruiters. The AI system automatically performs the verification of whether the candidates are eligible according to their CGPA, branch, and backlogs. NLP methods are applied to extract necessary information from resumes, generate an ATS score-based suitability score that indicates how well a candidate matches the job requirements. The system performs skill gap analysis and suggests students to improve their profiles before applying for placement drives. There are dedicated modules for TPO administrator and coordinator’s coordination, and students in the portal, which allow managing all applications, placements, and jobs centrally. Experimentally, it has been observed that the automation of resume evaluation and eligibility filtering increases efficiency and creates greater visibility into the process. This example of the SmartHire tool shows how AI can help educational organizations to assist students know about their strength and weaknesses.