Authors: Mohd Adnan Ahmed, Shashank BS, Munmeeth K, Sanjay J Ganiga
Abstract: This paper introduces an innovative AI-driven mock interview platform designed to enhance interview preparedness by assessing candidates across three key dimensions: emotions, confidence, and knowledge. Utilizing deep learning convolutional neural networks, the system analyzes facial expressions to gauge emotional responses, while speech recognition and natural language processing 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.
International Journal of Science, Engineering and Technology