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     2026:7/2

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

AI-Driven Virtual Interviewer

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Abstract

In today's competitive job market, interview preparation is an integral part of the job-seeking process, The AI Interviewer platform aims to help unemployed candidates by resolving the shortcomings of conventional interview preparation. Conventional methods are predominantly focused on knowledge-based queries, and other important factors such as communication skills, body language, and resume correctness are not handled. Current systems also fail to give customized, fine-grained feedback, which is necessary for those candidates who are interested in improving their overall interview performance. This AI-powered system provides an end-to-end interview preparation process by reviewing a candidate's resume, testing domain knowledge, and monitoring communication skills, voice tone, facial expressions, and eye contact. It also uses AI-developed interview questions based on the candidate's job description, and hence the preparation is effective and personalized. The AI also provides feedback on the knowledge of the candidates about the job role, along with corrections and suggestions to improve their knowledge.

How to Cite This Article

Kakumanu Naga Vijay Shekar, Sanam Veera Venkata Mani Shankar, Challa Siva Prakash, Shaik John Ussman, B V V H Chandra Sekhar (2025). AI-Driven Virtual Interviewer . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(2), 566-570. DOI: https://doi.org/10.54660/.IJMRGE.2025.6.2.566-570

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