Advancing Interview AI-Driven Real-Time Mock Interview System for Enhanced Communication and Technical Skills

The machine learning-based mock interview system allows candidates to practice technical, non-technical, and group discussion sessions through a virtual platform. It uses sentiment analysis, emotion detection, and grammar checking to evaluate candidates' performance. The technical session assesses the use of correct technical terms, while the non-technical session grades emotional expression, grammar, and filler words. Group discussions are hosted on the Agora platform for real-time interaction. The system provides personalized feedback and recommendations for improving both communication and technical skills. Developed using Flask, Python, and JavaScript, it integrates features like live emotion detection and grammar error analysis for enhanced practice. Key Words: Machine learning,Sentiment analysis,Agora platform,Personalized feedback