HIRE SENSE: An AI-Powered Smart Hiring evaluator

Abstract

The effectiveness of a job interview depends on both technical knowledge and communication skills, yet traditional mock interviews often lack objectivity, consistency, and scalability. To address this challenge, we present HIRE SENSE (Smart Hiring Evaluator), an AI- powered system that delivers structured and automated assessments of candidates. The framework simulates three interview rounds – Technical, HR, and Behavioral – to evaluate knowledge, fluency, and confidence. Candidate responses in the HR and Behavioral stages are analyzed using speech-to-text conversion, natural language processing (NLP), and machine learning models, which assess grammar, clarity, filler words, tone, and speaking rate. Technical evaluation is conducted through randomized multiple-choice and coding tasks. To ensure fairness, the system integrates camera-based monitoring and proctoring mechanisms. A user- friendly Python- based interface enables smooth interaction, while section-wise scores and personalized feedback are compiled into automatically generated PDF reports. By combining automated speech analysis, proctoring, and structured evaluation, HIRE SENSE provides a scalable tool to support students, job seekers, and professionals in improving interview readiness.