Interactive AI-Based Communication Assessment: Overview and Significance

Abstract: Communication skills are central to professional success, and the need for an automated assessment system has gained importance. In this paper, an interactive AI-driven communication assessment system is proposed that examines verbal and non-verbal communication skill through real-time video and voice analysis. Machine learning-based speech recognition, sentiment analysis, facial expression recognition, and linguistic analysis are used in the system to provide whole-system feedback. Experimental results indicate the effectiveness of the proposed system in effectively evaluating communication competency. The study adds value to the research community by enhancing automated interview and training processes using AI-driven analytics.

Keywords: AI, Communication Assessment, Machine Learning, Speech Recognition, Sentiment Analysis, Facial Expression Detection, Natural Language Processing, Deep Learning, Interview Coaching.