AI-Based Mock Interview System with Emotion Detection and Real-Time Feedback

Preparation for interviews is an important step for success in academics and careers. Traditional false interviews require human participation, making them expensive, slow and hard scales. This article presents an AI operated mockery interview program that uses deep learning, Bhavna AI and web technologies to offer real-time automatic response. This system looks at facial expressions, feelings and reactions from the candidates during the practice of practice. This creates a personal performance report. Manufactured with a React frontier, Fastpi Backndar and Mongodb database, the frame dims for emotion recognition and Deeplus for Tensorflow. Experimental analysis suggests that the system can identify emotional stages such as happiness, sadness, anger, surprise, fear and neutrality. The results indicate a remarkable increase in confidence and self - assessment of the candidate than the methods of traditional preparation. This system can help educational institutions, career centers, corporate training programs and individual users. Future updates may include Gameifications to improve voice analysis, NLP-based response assessment and engagement