Mock Interviewer

DOI

https://www.doi.org/10.59256/ijire.20260701007

Published In

Volume 7, Issue 1 (2026)

Published Online

January-February 2026

Pages

59-64

Article Type

Original Article

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Rapid growth in digital recruitment has led to the need for scalable, objective and intelligent interview preparation (and assessment) systems. The majority of traditional interview techniques rely on human responses, which are often inconsistent and subjective. However, only a few candidates can provide such feedback without difficulty. The paper presents AI Interviewer, a web-based interview preparation tool that assists candidates with automated interview practice, detailed performance analysis, resume optimization, and ATS compatibility assessment. Real-time video and voice interviews, AI-led role specific questions, live transcription, and natural language-based evaluation of candidate responses are all supported by the platform. Moreover, it includes an integrated resume analyzer that uses ATS for scoring tasks and provides feedback, as well as a resume builder that can generate resumes tailored to job functions. Firebase-powered cloud storage is used to store all analytical reports and historical performance metrics. This system emphasizes the importance of being comprehensible, impartial and easily applicable. Using real-life scenarios on platforms, the effectiveness of using multimodal assessment and dashboard-based feedback has been demonstrated to enhance candidate preparedness. In today's recruitment ecosystems, the platform is a complete AI-powered solution.