AI BASED MOCK INTERVIEW SYSTEM

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Dr.KJeyalakshmi; Mr K.AbishekPandian; Mrs S.SriLalitha

AI BASED MOCK INTERVIEW SYSTEM

Authors: Dr.KJeyalakshmi, Mr K.AbishekPandian, Mrs S.SriLalitha

Unique Paper ID: 174693
Volume: 11
Issue: 11
PageNo: 1035-1037

Keywords: AI-based mock interview Natural Language Processing (NLP) Machine Learning Interview Simulation Real-time Feedback Speech Recognition.

Abstract:
An AI-based mock interview system is an advanced tool designed to help job seekers practice and refine their interview skills through intelligent automation and real-time feedback. Using natural language processing (NLP) and machine learning, the system simulates real-world interview scenarios tailored to different industries, job roles, and experience levels. It dynamically generates and adjusts questions based on user responses, ensuring a personalized and adaptive experience. The system supports various interview formats, including behavioral, technical, HR, case-based, and coding interviews, with a built-in coding environment that evaluates solutions for correctness, efficiency, and best practices. To enhance the user experience, the system integrates speech and facial recognition technologies to analyze tone, confidence, and engagement, offering constructive feedback on communication skills. It assesses responses for clarity, relevance, and technical depth, providing users with actionable insights for improvement. Additionally, users can track their progress over multiple sessions, access interview performance analytics, and receive AI-driven recommendations for enhancing their resumes and overall interview strategies. By leveraging artificial intelligence, this system not only helps candidates gain confidence but also improves their ability to articulate responses effectively, identify areas of weakness, and refine their problem-solving skills. Whether preparing for entry-level positions or executive roles, the AI-based mock interview system serves as a powerful, data-driven tool that maximizes interview success and career opportunities in an increasingly competitive job market.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 1035-1037

AI BASED MOCK INTERVIEW SYSTEM

Available:https://ijirt.org/article?manuscript=174693

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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