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GRENZE International Journal of Engineering and Technology Vol. 12 (2026), Issue 1

Online Vocal Interviewer: based on AI for Candidate Response Analysis and Evaluation

Authors

Rahul Daga, Rijul Sidanale, Parth Rajopadhye, Viraj Jethliya, Arihant Awate, Kavita Sultanpure

Abstract

This paper presents an implementation of AI-powered Voice Based interviewer. It includes a dynamic generation of interview questions from the given job profile description, conversational interaction in real time, and a scoring system via Sentiment Analysis based on structural coherence and content relevance. A web dashboard aggregates the scoring and statistics with a summary of the whole interview. The core tech stack used for this project is Next.js, Supabase, and Retall AI. For sentiment analysis OpenAI API isorchestrated through LongChain framework.