Authors :
Monika Jeeru; Praveen Kumar Ketavat; Venkatesh Kaipu; Chaitanya Madaka; G. Satya Durga Rao
Volume/Issue :
Volume 11 - 2026, Issue 7 - July
Google Scholar :
https://tinyurl.com/3x4n76ts
Scribd :
https://tinyurl.com/545zn7av
DOI :
https://doi.org/10.38124/ijisrt/26jul1289
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
Interview preparation is a critical factor in recruitment success; however, most existing preparation tools rely on
static, text-based interactions that do not accurately represent real interview environments. While some platforms provide
live mock interviews, their dependence on human interviewers makes them costly, time-consuming, and difficult to scale.
This paper proposes an AI-driven real-time voice-based interview platform designed to simulate realistic interview
scenarios through intelligent conversational interaction. The system dynamically generates and adapts interview questions
based on candidate responses using large language models. Real-time voice communication is achieved through speech-totext and text-to-speech technologies, enabling natural interaction between the candidate and the AI interviewer. The
platform is implemented using Next.js for frontend development, Firebase Authentication and Firestore for secure user
management and data storage, Vapi for real-time voice interaction, and Google Gemini for intelligent question generation,
response analysis, and feedback. By automating interview conduction and evaluation, the proposed solution reduces
dependency on human interviewers while maintaining interview realism. The system offers a scalable, cost-effective, and
interactive approach to interview preparation.
Keywords :
AI Interview, Voice-Based Interview System, Mock Interview Platform, Google Gemini, Real-Time Interaction, Interview Preparation.
References :
- S. V. Golande, P. Dandage, A. Jadhav, P. Mohite, and A. Shahane, “Mock Interview Evaluator Powered by AI,” Excel International Journal of Technology, Engineering and Management, vol. 12, no. 2, pp. 80–87, 2025. Link: https://www.researchgate.net/publication/391976964_MOCK_INTERVIEW_EVALUATOR_POWERED_BY_AI
- S. R. Jagtap, V. Kulkarni, Y. Pachorkar, O. Taur, S. Gupta, and U. Pujeri,
“AI-Driven Real-Time Interview Simulation App with Voice Recognition and Facial Analysis,” Indian Journal of Science and Technology, vol. 18, no. 25, 2025. Link: https://doi.org/10.17485/IJST/v18i25.760
- B. Anitha, G. Bhavani, B. Divya, and M. Jyoshna, “AI Based Mock Interview Evaluator,” International Journal for Advanced Research in Science & Technology (IJARST), 2023. Link: https://ijarst.in/public/uploads/paper/957361744543266.pdf
Interview preparation is a critical factor in recruitment success; however, most existing preparation tools rely on
static, text-based interactions that do not accurately represent real interview environments. While some platforms provide
live mock interviews, their dependence on human interviewers makes them costly, time-consuming, and difficult to scale.
This paper proposes an AI-driven real-time voice-based interview platform designed to simulate realistic interview
scenarios through intelligent conversational interaction. The system dynamically generates and adapts interview questions
based on candidate responses using large language models. Real-time voice communication is achieved through speech-totext and text-to-speech technologies, enabling natural interaction between the candidate and the AI interviewer. The
platform is implemented using Next.js for frontend development, Firebase Authentication and Firestore for secure user
management and data storage, Vapi for real-time voice interaction, and Google Gemini for intelligent question generation,
response analysis, and feedback. By automating interview conduction and evaluation, the proposed solution reduces
dependency on human interviewers while maintaining interview realism. The system offers a scalable, cost-effective, and
interactive approach to interview preparation.
Keywords :
AI Interview, Voice-Based Interview System, Mock Interview Platform, Google Gemini, Real-Time Interaction, Interview Preparation.
