IntelliInterview: AI-Powered Mock Interview and Candidate Assessment Platform

IntelliInterview is an AI-powered mock interview and candidate assessment platform designed to simulate real-world interview experiences and provide comprehensive performance evaluation. The platform integrates artificial intelligence to generate interview questions, evaluate candidate responses, generate contextual follow-up questions, and provide personalized feedback. It supports TEXT, AUDIO, and VIDEO interview modes. The system incorporates Gemini-based AI processing for question generation, answer evaluation, transcription, and communication analysis. Additional capabilities include automated speech metrics, facial presence monitoring, session integrity observations, and comprehensive interview report generation. The platform is developed using React, TypeScript, FastAPI, Python, PostgreSQL, and Google Gemini API, with Supabase for persistent storage and Vercel and Render for deployment. This research paper presents the system architecture, technologies, implementation methodology, core functionalities, and testing approach of IntelliInterview.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24115796
Primary Topic
AI and HR Technologies
Type
preprint
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preprint

IntelliInterview: AI-Powered Mock Interview and Candidate Assessment Platform

Vinit Jagtap, Swapnil Thavare, Abhishek Borkar, Dnyanesh Rananaware
Zenodo (CERN European Organization for Nuclear Research)
AI and HR Technologies
preprint

IntelliInterview: AI-Powered Mock Interview and Candidate Assessment Platform

Vinit Jagtap, Swapnil Thavare, Abhishek Borkar, Dnyanesh Rananaware
preprint en

Abstract

IntelliInterview is an AI-powered mock interview and candidate assessment platform designed to simulate real-world interview experiences and provide comprehensive performance evaluation. The platform integrates artificial intelligence to generate interview questions, evaluate candidate responses, generate contextual follow-up questions, and provide personalized feedback. It supports TEXT, AUDIO, and VIDEO interview modes. The system incorporates Gemini-based AI processing for question generation, answer evaluation, transcription, and communication analysis. Additional capabilities include automated speech metrics, facial presence monitoring, session integrity observations, and comprehensive interview report generation. The platform is developed using React, TypeScript, FastAPI, Python, PostgreSQL, and Google Gemini API, with Supabase for persistent storage and Vercel and Render for deployment. This research paper presents the system architecture, technologies, implementation methodology, core functionalities, and testing approach of IntelliInterview.

Zenodo (CERN European Organization for Nuclear Research)
AI and HR Technologies
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IntelliInterview: AI-Powered Mock Interview and Candidate Assessment Platform — Vinit Jagtap, Swapnil Thavare, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS