AI MOCK INTERVIEWER

  • Unique Paper ID: 182035
  • PageNo: 979-982
  • Abstract:
  • This project presents an AI-powered Mock Interviewer web application designed to simulate realistic interview experiences using Gemini AI. The platform dynamically generates personalized interview questions based on user-selected domains, such as software development, data science, or system design. Users interact with the AI interviewer in real time, either via text or voice, allowing them to practice and refine their interview skills in a low-pressure environment.

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{182035,
        author = {Nilesh Dhondge and Dr. Chadrashekhar Kamargaonkar and Aryan Nagare and Vishwajeet Shinde and Amir Mulani},
        title = {AI MOCK INTERVIEWER},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {979-982},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182035},
        abstract = {This project presents an AI-powered Mock Interviewer web application designed to simulate realistic interview experiences using Gemini AI. The platform dynamically generates personalized interview questions based on user-selected domains, such as software development, data science, or system design. Users interact with the AI interviewer in real time, either via text or voice, allowing them to practice and refine their interview skills in a low-pressure environment.},
        keywords = {AI-powered, Gemini, interview, real time, personalized Interview.},
        month = {July},
        }

Cite This Article

Dhondge, N., & Kamargaonkar, D. C., & Nagare, A., & Shinde, V., & Mulani, A. (2025). AI MOCK INTERVIEWER. International Journal of Innovative Research in Technology (IJIRT), 12(2), 979–982.

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