Advanced AI Interview Simulation and Evaluation System

International Journal of Emerging Research in Science, Engineering, and Management

Vol. 2, Issue 1, pp. 125–136, January 2026

https://doi.org/10.58482/ijersem.v2i1.18

This work is licensed under a Creative Commons Attribution 4.0 International License .

Advanced AI Interview Simulation and Evaluation System

B Jhansi, Adimi Hari, Shaik Javeed, Chintham Lakshmi Bhavishya, Katumure Pujitha

Department of CSE, Siddartha Institute of Science and Technology, Puttur, India.

Abstract

The Interview-based AI Model is an intelligent and interactive virtual interview system designed to automate the initial stages of candidate screening in recruitment processes. Leveraging advanced Natural Language Processing (NLP) and Machine Learning (ML) techniques, the system simulates domain-specific interview scenarios, analyzes candidate responses in real time, and provides feedback on communication skills, emotional intelligence, confidence, and domain knowledge. Additionally, it integrates voice-to-text conversion and AI-generated answer detection to ensure authenticity and assess speaking proficiency. This scalable and unbiased tool aims to improve hiring efficiency by offering consistent evaluations and detailed performance summaries, reducing human bias and manual effort.

Keywords: Candidate Screening, Machine Learning, Natural Language Processing, Performance Summary Generation, Virtual Interview System.

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DOI: https://doi.org/10.58482/ijersem.v2i1.18

Open Access • Peer Reviewed Article

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This article is part of Volume 2, Issue 1 (January 2026)

2026-01-31