InterviewAI: A Multimodal, LLM-Powered Technical Interview Simulation Framework with Real-Time Biometric Proctoring, Psychometric Scoring, and Adaptive Cognitive Assessment

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{201043,
        author = {Shivam Wayal and Dr. M. A. Pradhan and Swaraj Sawant and Soham Manjare and Uday Kunjir},
        title = {InterviewAI: A Multimodal, LLM-Powered Technical Interview Simulation Framework with Real-Time Biometric Proctoring, Psychometric Scoring, and Adaptive Cognitive Assessment},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {5115-5140},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201043},
        abstract = {},
        keywords = {Large Language Models, Technical Interview Simulation, Psychometric Assessment, Biometric Proctoring, Cognitive Load Theory, Prompt Engineering, Web Speech API, Natural Language Processing, Real-Time Evaluation, MERN Stack, face-api.js, Transformer Architecture, Interview Prepara-tion, Gemini API, Moving Average Algorithm},
        month = {May},
        }

Cite This Article

Wayal, S., & Pradhan, D. M. A., & Sawant, S., & Manjare, S., & Kunjir, U. (2026). InterviewAI: A Multimodal, LLM-Powered Technical Interview Simulation Framework with Real-Time Biometric Proctoring, Psychometric Scoring, and Adaptive Cognitive Assessment. International Journal of Innovative Research in Technology (IJIRT), 12(12), 5115–5140.

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