AI-Powered Recruitment System for Smarter, Faster, and Fairer Hiring

Abstract

Recruitment is one of the most critical human resource functions in any organization. Traditional hiring practices are often time-consuming, biased, and inefficient. To address these challenges, this paper presents an AI-powered recruitment system that automates candidate screening, matching, and team formation based on skill similarity and data-driven analysis. The system leverages machine learning algorithms to rank candidates according to their skill compatibility with project requirements. The integration of artificial intelligence and automation ensures unbiased hiring, faster selection, and optimized workforce allocation. The proposed framework demonstrates how technology can enhance the fairness, efficiency, and transparency of the recruitment process, paving the way for smarter hiring in the digital era.