AI-Driven Virtual Interviewer

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.

Authors

Publication Details

Journal
International Journal of Multidisciplinary Research and Growth Evaluation
Published
2025-01-01
DOI
https://doi.org/10.54660/.ijmrge.2025.6.2.566-570
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
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article

AI-Driven Virtual Interviewer

K. Chandra Shekar, Chander Prakash, B. Sekhar, S. Shankar et al.
1 citations
International Journal of Multidisciplinary Research and Growth Evaluation
Artificial Intelligence in Healthcare and Education
0.65
article

AI-Driven Virtual Interviewer

K. Chandra Shekar, Chander Prakash, B. Sekhar, S. Shankar, Shaik John Ussman
article en
1 citations

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.

International Journal of Multidisciplinary Research and Growth EvaluationVol. 6(2)
Openalex Percentile: Top 26%
Artificial Intelligence in Healthcare and Education
0.65
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AI-Driven Virtual Interviewer — K. Chandra Shekar, Chander Prakash, et al. · International Journal of Multidisciplinary Research and Growth Evaluation (2025) | TGRS Research Map | TGRS