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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 11, NOVEMBER 2024

AI-Driven Mock Interview: A New Era In Candidate Preparation

Yashaswini Nag. M. N, Lokesh Chowdary K, Shashank L, Gokul D

DOI: 10.17148/IJARCCE.2024.131134

Abstract: This Research unveils an innovative AI-driven mock interview platform designed to enhance interview preparedness by assessing candidates across three key dimensions: emotions, confidence, and knowledge Employing CNNs networks, the system analyzes facial expressions to gauge emotional responses, while speech Recognition & NLP evaluate the candidate’s confidence levels. Additionally, semantic analysis and keyword mapping assess the candidate’s knowledge by comparing responses with relevant online resources. This comprehensive approach aims to reduce pre-interview anxiety, boost confidence, and refine interview skills, providing a more effective preparation tool compared to traditional methods.

Keywords: AI-driven, mock interviews, deep learning Leveraging deep learning, emotion detection, voice analysis and language processing, the system thoroughly assesses candidates emotional responses and communication skills.

How to Cite:

[1] Yashaswini Nag. M. N, Lokesh Chowdary K, Shashank L, Gokul D, “AI-Driven Mock Interview: A New Era In Candidate Preparation,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.131134