International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 1, pp. 125-136, January 2026.
This work is licensed under a Creative Commons Attribution 4.0 International License.
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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