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AI Agentic Interview System
Authors
1 3 4 5 Department of Artificial Intelligence and Machine Learning ,Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India. 2 Associate Professor Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India.
Article Information
- Organised By
- Madanapalle Institute of Technology & Science (MITS)
- Conference Date
- 9 & 10 March 2026
- Pages
- 28-35
- Article Type
- Research Article
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Abstract
View PDFTechnical interviews constitute a critical component of software engineering recruitment, yet candidates frequently lack access to realistic practice opportunities that simulate authentic interview dynamics. This paper presents a novel web-based platform that integrates OpenAI’s GPT-4o large language model with real-time speech recognition and synthesis capa-bilities, coupled with a professional code editor environment. The system enables seamless voice-to-voice interaction between candidates and an AI interviewer while maintaining real-time code context awareness. Our implementation achieves sub-3-second response latency with 90-95% speech recognition accuracy and provides immediate, context-aware feedback during multi-round interview simulations. Performance evaluation demon-strates successful integration of natural language processing, speech technologies, and code execution in a unified platform, offering an accessible 24/7 interview practice solution.
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