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Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I

Research Article

Gen AI Powered Interview Mocker

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  • @INPROCEEDINGS{10.4108/eai.28-4-2025.2357866,
        author={V.  Jaganraja and Avinash  Avinash and Gaurav  Raj and Rahul  Kumar},
        title={Gen AI Powered Interview Mocker},
        proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I},
        publisher={EAI},
        proceedings_a={ICITSM PART I},
        year={2025},
        month={10},
        keywords={artificial intelligence (ai) convolutional neural network (cnn) k nearest neighbours (knn) long short-term memory(lstm) interview ai-based interview real-time interaction personalized feedback},
        doi={10.4108/eai.28-4-2025.2357866}
    }
    
  • V. Jaganraja
    Avinash Avinash
    Gaurav Raj
    Rahul Kumar
    Year: 2025
    Gen AI Powered Interview Mocker
    ICITSM PART I
    EAI
    DOI: 10.4108/eai.28-4-2025.2357866
V. Jaganraja1,*, Avinash Avinash1, Gaurav Raj1, Rahul Kumar1
  • 1: Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
*Contact email: jaganrajav@gmail.com

Abstract

Learning how to prepare for interviews has never been more vital, particularly for graduates entering a crowded job sector. However, a lot of students do not have such a structured or interesting way to practice these important soft skills during their time in education. To address this deficit, we provide an AI-enabled mock interview platform that brings interactivity to the practice interviews. The system utilizes a virtual interviewer to produce interview situations in real-time, analyzing a candidate’s responses, such as facial expressions, tone of voice, speaking rate, and body movements. It fuses facial expression recognition, speech processing and behavioural analysis to provide pertinent and personalized feedback. Services converge for the user review through visual dashboards their performance and progress in sessions. Other modules analyse grammar by means of speech-to-text conversion and perform a full communication effectiveness assessment. What makes it unique is that it is an integrated training that combines both artificial intelligence and behavioural information so that it is a very effective learning tool. By giving people the ability to simulate real world interviews and get instant feedback, the platform allows users to work on not just their answers, but on their presentation of them. This study continues to prove how AI can be used to help develop confidence, improve communication skills and prepare people for real-life professional experiences.

Keywords
artificial intelligence (ai), convolutional neural network (cnn), k nearest neighbours (knn), long short-term memory(lstm), interview, ai-based interview, real-time interaction, personalized feedback
Published
2025-10-13
Publisher
EAI
http://dx.doi.org/10.4108/eai.28-4-2025.2357866
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