Authors: Surjya Narayan Sahoo
Abstract: The use of AI in talent acquisition is a significant paradigm shift that enables organizations to identify, evaluate, and select candidates based on their capability to excel in the required job roles. This paper describes an innovative talent acquisition framework built around AI technology and involving machine learning, natural language processing, and predictive analytics to improve the employee performance evaluation process. Specifically, the pro-posed talent acquisition framework encompasses resume scanning, soft skill assessment via conversational AI, and employee performance prediction using One-Class SVM classifiers. Based on quantitative analyses of different organizational databases, the framework pro-vides 95.28% accuracy in evaluating the performance of potential candidates, 40% decrease in recruitment process time, and 35% increase in performance prediction accuracy com-pared to conventional approaches.
DOI: http://doi.org/10.5281/zenodo.21349003
