AI-Integrated Virtual Interview Platform

Authors

  • Deepa Priya V Department of Information Technology, Kamaraj College of Engineering and Technology Virudhunagar, India. Author
  • Jegan Abishek A Department of Information Technology, Kamaraj College of Engineering and Technology Virudhunagar, India. Author
  • Kasinathan T Department of Information Technology, Kamaraj College of Engineering and Technology Virudhunagar, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0330

Keywords:

structured feedback, real-world interviews, Virtual Interview, AI-guided mock interviews

Abstract

The rapid evolution of digital recruitment and remote hiring has transformed traditional interview processes into virtual and technology-driven systems. However, existing interview preparation methods often lack realism, personalization, and structured feedback, making candidates underprepared for real-world interviews. The AI-Integrated Virtual Interview Platform proposes a comprehensive solution that simulates real interview environments using artificial intelligence, resume analytics, and adaptive assessments.The platform integrates automated resume analysis, AI-guided mock interviews, role-based coding challenges, and adaptive aptitude tests to evaluate and enhance candidate skills holistically. Real-time interview simulation using webcam and audio, combined with timed questioning, helps candidates experience authentic interview pressure. Performance analytics and feedback reports assist candidates in identifying strengths and improvement areas.The system is designed using a modular architecture to ensure scalability, security, and ease of maintenance. By emphasizing personalization, real-time evaluation, and analytics-driven feedback, the proposed platform significantly improves interview readiness, confidence, and employability of candidates in modern recruitment ecosystems

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Published

2026-04-30

How to Cite

AI-Integrated Virtual Interview Platform. (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(04), 2468-2473. https://doi.org/10.47392/IRJAEH.2026.0330