SMART RECRUITMENT: CATEGORIZING, AND SELECTING APPROPRIATE AND UNIQUE TALENT USING POWER OF ARTIFICIAL INTELLIGENCE

Abstract

The use of artificial intelligence (AI) and machine learning (ML) is transmuting the recruitment process. Present and traditional recruitment procedures are based on screening of resume and rudimentary organized interviews, which primarily unable to provide a complete view of the candidate. In this paper, we propose an AI-driven multimodal recruitment system that modernizes the recruitment process through video, text, and speech-based behavioral analysis of the candidates’ performance. Our system allows applicants to apply for vacant job on the portal, answer questionnaires, and undergo video interviews. The data is preprocessed using cleaning, feature extraction, and then transformed by normalization and encoding. NLP and Deep learning techniques are applied to process the text and video based preprocessed data. It provides a detailed assessment report for decision-making. Preliminary experiments show that the proposed system improves the efficiency of the hiring process, eliminates human bias, and offers a more comprehensive evaluation of the candidates than conventional methods.