AI Meet

Authors

  • M Sravanthi Assistant Professor;Department Of Information Technology Bhoj Reddy Engineering College For Women Hyderabad India Author
  • Aligeti Puneetha,Vuppala Sai Srija,Routhu Shriya B.Tech Students; Department Of Information Technology Bhoj Reddy Engineering College For Women Hyderabad India Author

Keywords:

Artificial Intelligence, Mock Interview System, Voice-Based Interviewing, Career Preparation, Speech Recognition, AI-Driven Feedback, Resume-Based Question Generation, Conversational AI, Technical Interview Training, Performance Analytics.

Abstract

Preparing for job interviews has become increasingly important for students and job seekers in the rapidly evolving technology sector. However, many candidates face difficulties due to the absence of realistic interview practice environments and personalized feedback. Conventional preparation approaches, such as reading interview questions or solving coding problems, often fail to replicate real interview conditions and therefore provide limited insight into a candidate’s performance.This paper presents AI MEET, an Artificial Intelligence–driven mock interview preparation platform designed to simulate real interview experiences and provide structured performance evaluation. The system integrates voice-based interaction with AI-powered interviewers that conduct dynamic interviews in real time. Users can configure interviews based on type (technical, behavioral, or hybrid), preferred technology stack, and experience level.The platform employs speech-to-text technology to convert spoken responses into textual data, which is then processed using large language models to analyze the quality of responses. Based on this analysis, the system generates detailed feedback evaluating various dimensions such as communication ability, technical competency, analytical thinking, confidence, and cultural alignment.Beyond mock interviews, AI MEET offers additional preparation features including resume-driven question generation, AI-based quizzes covering multiple technical domains, and company-oriented question repositories for major technology firms. The platform also includes an intelligent conversational chatbot available around the clock to assist users with interview strategies, resume guidance, and career advice. Furthermore, the system provides performance analytics dashboards that track interview attempts, quiz scores, and improvement trends over time.The proposed system aims to enhance interview preparedness by delivering an interactive and personalized learning environment powered by modern artificial intelligence technologies. By combining automated interview simulation, adaptive feedback mechanisms, and performance analytics, AI MEET supports candidates in identifying weaknesses, strengthening skills, and improving their chances of success in competitive hiring processes.

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Published

2026-04-08

Issue

Section

Articles

How to Cite

AI Meet. (2026). International Journal of Engineering and Science Research, 16(2), 11-18. https://www.ijesr.org/index.php/ijesr/article/view/1570

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