AI-Powered Interviewer Platform

Author(s)	Prof. Uma Kishor Ade, Ms. Samiksha Ravindra Sheregar, Ms. Devika Sandeep Potdar, Mr. Sanskar Sunil Mangde, Mr. Soham Pravin Kolhe
Country	India
Abstract	The hiring process within an organization is a time-consuming and often inconsistent process. Additionally, it involves a lot of human bias, which leads to a problem in the efficient evaluation of candidates. The paper proposes an interview evaluation platform using Artificial Intelligence (AI) tools such as Natural Language Processing (NLP), Machine Learning (ML), and behavioral analysis. The proposed platform will be able to generate resume-based adaptive questions, perform semantic evaluation of candidate answers, and perform multi-dimensional evaluation of candidates based on technical, communication, and behavioral skills. In addition, it will include anti-cheating features such as webcam monitoring, tab switching, and activity tracking. The proposed platform is efficient and accurate compared to traditional and online interview evaluations. The proposed platform has shown promising results and can be used for real-time evaluation.
Keywords	Artificial Intelligence, NLP, Interview Automation, Recruitment System, Machine Learning, Behavioral Analysis
Field	Engineering
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-12
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.72937

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