Virtual Job Interviewer (AI- Based Application)

Tanishka Aphale, Nikita Kale

Abstract: The rapid advancement of Artificial Intelligence (AI) has significantly transformed traditionally business processes, including recruitment and human resource management. Conventional interview systems are time-consuming, costly, and often influenced by human bias. To address these challenges, this research presents the concept and implementation of a Virtual Job Interviewer, an AI-based application designed to automate the interview process. The system conducts structured interviews, analyzes candidate responses using Natural Language Processing (NLP), and evaluates performance though Machine Learning (ML) techniques. It accesses communication skills, technical knowledge, evaluation, and provides instant feedback reports. Experimental analysis indicates that the AI-based interviewers impower efficiency, scalability, and objectivity compared to traditional interview processes. This paper discusses the system architecture, methodology, results, advantages, limitations, and scope of the proposed solution.

Keywords: Artificial Intelligence, Virtual Interviewer, Machine Learning, Recruitment Automation, Natural Language Processing

How to Cite?: Tanishka Aphale, Nikita Kale, "Virtual Job Interviewer (AI- Based Application)", Volume 15 Issue 1, January 2026, International Journal of Science and Research (IJSR), Pages: 397-398, https://www.ijsr.net/getabstract.php?paperid=SR26106193042, DOI: https://dx.doi.org/10.21275/SR26106193042