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.
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DOI:
10.17148/IJARCCE.2024.131134
[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
