International Journal on Science and Technology

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AI Voice Interview Agent for Real-Time Personalized Mock Interviews

Author(s) Prof. Sunil Yadav, Mr. Chinmay Dalvi, Mr. Sahil Taksal, Mr. Dattatray Bhaganagare, Mr. Yash Patil
Country India
Abstract The AI Voice Interview Agent which is in the center of this research paper is an AI-powered voice-only, real-time, adapted Vapi SDK based mock interview system which automatically creates a question set by understanding the content of resumes through open LLM model. The system additionally facilitates the automation of assessment through XGBoost and provides instant feedback on aspects such as voice, confidence, and organization. Previous works that include "AequeVox: Automated Fairness Testing of Speech Recognition Systems" by Rajan [1], "Weakly Supervised Context-based Interview Question Generation" by Chakraborty [2], and "Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment" by Yoon [3] create a solid base for fairness in speech recognition, question generation, and automated speech assessment. Our method integrates these techniques in a more distinguishable procedure. Furthermore, it is very clear that our system fills the unaddressed needs of real-time evaluation and feedback. We have received very positive feedback from the first experimental users; they report that they speak and organize their thoughts much better than in a regular mock interview.
Keywords AI Mock Interview , Adaptive Question Generation , Automated Speech Evaluation, Real-Time Feedback, Open LLM Model, XGBoost, Vapi SDK, Interview Simulation
Field Engineering
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-11-14
DOI https://doi.org/10.71097/IJSAT.v16.i4.9446
Short DOI https://doi.org/hbbmzq
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