IntelliInterview: An AI-Based Interview Training Platform Using Natural Language Processing

Abstract: The growing competitiveness of the modern job market demands that candidates possess not only domain knowledge but also refined communication skills, structured thinking, and interview confidence. A significant gap exists between theoretical academic preparation and practical interview performance, particularly among students and fresh graduates who lack access to structured mock interview resources. This paper presents IntelliInterview, an AI-based Interview Training Platform that leverages Natural Language Processing (NLP) and Artificial Intelligence (AI) to simulate realistic interview environments. The system acts as a virtual interviewer, presenting domain-specific and HR interview questions, accepting text or voice responses from users, and analyzing the quality of answers based on grammar, relevance, coherence, and completeness. Following analysis, the system generates constructive feedback along with a performance score, enabling candidates to self-assess and improve iteratively. Developed using Python, the platform integrates Streamlit as the user interface framework, NLP libraries for response analysis, and speech recognition libraries for voice-based input. Experimental results indicate that repeated practice sessions using IntelliInterview lead to measurable improvements in user response quality and confidence, demonstrating the practical viability of AIpowered tools for professional skill development. This work contributes to the growing body of research on intelligent tutoring systems and conversational AI applications in the domain of career development and education.