This paper is published in Volume-12, Issue-3, 2026
Area
Artificial Intelligence Engineering
Author
Parth Potbhare, Ayush Nikade, Sahil karnahake, Vaibhav Chinchulkar, Shreyash Janglekar, Sandesh jagtap, Abhishek Nachankar, Neha Dhuriya
Org/Univ
Karmaveer Dadasaheb Kannamwar Engineering College, Maharashtra, India
Pub. Date
08 May, 2026
Paper ID
V12I3-1145
Publisher
Keywords
Natural Language Processing (NLP), Speech Recognition, Google Gemini API, Automated Feedback System, Real-Time Communication, Interview Preparation, Adaptive Question Generation.

Citationsacebook

IEEE
Parth Potbhare, Ayush Nikade, Sahil karnahake, Vaibhav Chinchulkar, Shreyash Janglekar, Sandesh jagtap, Abhishek Nachankar, Neha Dhuriya. AI Voice Agent-Based Virtual Interview Platform, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Parth Potbhare, Ayush Nikade, Sahil karnahake, Vaibhav Chinchulkar, Shreyash Janglekar, Sandesh jagtap, Abhishek Nachankar, Neha Dhuriya (2026). AI Voice Agent-Based Virtual Interview Platform. International Journal of Advance Research, Ideas and Innovations in Technology, 12(3) www.IJARIIT.com.

MLA
Parth Potbhare, Ayush Nikade, Sahil karnahake, Vaibhav Chinchulkar, Shreyash Janglekar, Sandesh jagtap, Abhishek Nachankar, Neha Dhuriya. "AI Voice Agent-Based Virtual Interview Platform." International Journal of Advance Research, Ideas and Innovations in Technology 12.3 (2026). www.IJARIIT.com.

Abstract

A full-stack AI mock interview platform using Next.js, Tailwind CSS, Vapi for real-time voice interactions, and Firebase for backend services and authentication. The project guides developers through setting up the Vapi dashboard for AI agent creation and integrating Google Gemini for dynamic, tailored interview question generation based on user input role, level, and tech stack. Key features implemented include authenticating users, generating personalized interview scenarios, initiating real-time voice conversations with the AI agent, and saving transcripts. Additionally, the tutorial covers designing a professional UI to display past interviews and generating detailed feedback based on the conversation transcript. By the end of this comprehensive guide, learners will possess the practical skills to deploy a portfolio-worthy application that leverages real-time AI voice technology. This is a practical, project-based approach designed to help developers level up their skills with real-world scenarios.