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IITM Journal of Information Technology

ISSN (P) 2395-5457 | Single Blind Peer Reviewed Journal

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INSTITUTE OF INNOVATION IN TECHNOLOGY & MANAGEMENT
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NeuroHire: Intelligent Virtual Interviewing with AI

Sushma Malik1, Anamika Rana2, Priyanshi Kunte3, Pratham Sachdeva3
1 Assistant Professor, 2 Associate Professor, 3Research Scholar
Department of Computer Applications Maharaja Surajmal Institute, New Delhi, India 

Abstract:  For many job seekers, interviews are high-pressure situations where success often depends more on performing well under stress than on demonstrating actual skills and knowledge. Despite the critical role interviews play in recruitment, many candidates lack access to realistic and personalized interview practice environments. This paper introduces NeuroHire, an AI-driven interview coaching system designed to address this gap by providing interactive virtual interview experiences. NeuroHire incorporates the candidate’s resume and the target job description to generate tailored interview scenarios. Instead of relying solely on keyword matching, the system applies semantic embeddings to group candidate skills through unsupervised learning techniques. The platform also enables voice-based interaction, allowing users to practice professional communication in a realistic setting. Additionally, Natural Language Processing (NLP) techniques are used to assess the relevance, clarity, and quality of candidate responses. Upon completion of the interview session, users receive comprehensive feedback highlighting their strengths and areas for improvement. NeuroHire functions as an adaptive interview simulation framework powered by Large Language Models (LLMs). Experimental results show that the system achieves a query classification accuracy of 84.21%. Furthermore, evaluation of the generative component using the Mistral model produced a semantic similarity score of 72.84% compared with reference responses. These results demonstrate the potential of NeuroHire as an effective tool for realistic mock interview preparation.

Keywords:  Neuro Hire, Virtual Interviewing, Natural Language Processing, Large Language Models

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