GRENZE International Journal of Engineering and Technology
Vol. 12
(2026), Issue 1
ICARE: An Intelligent Cognitive Assessment and Review Engine for Adaptive Role Matching in Recruitment Optimization
Authors
Aryan Shankhapal, Mufaddal Shiyaji, Aditya Shirodkar, Jignesh Sisodia, Kailas Devadkar
Abstract
The recruitment process often struggles with inefficiencies from multiple role specific assessments in a single hiring cycle. This paper introduces the Intelligent Cognitive Assessment and Review Engine, an AI-powered system that accelerates recruitment by using the Adaptive Role Matching System to generate adaptive tests tailored to role demands. It draws real-time data from candidates’ responses and skills, modifying assessments accordingly for more accurate evaluations and a customized process. The system uses the Spiral Model, probabilistic algorithms, and Graph Neural Networks for optimal skill-to-role matching.
Pages:
3444 - 3450