The paper presents a cutting-edge real-time feedback detection system utilizing advanced face recognition technology. It analyses and interprets the user’s facial expressions to provide instantaneous feedback on their emotional state. By employing state-of-the-art technologies and algorithms in face recognition and emotion detection, the system delivers accurate and prompt feedback to enhance user engagement and performance. The study involves designing an intuitive and user-friendly interface that seamlessly integrates with the models. Rigorous system testing and user experience tests have been conducted to ensure the system’s functionality and effectiveness. The outcomes includes the delivery of a fully functional system capable of accurately detecting real-time feedback, thereby facilitating improved user engagement and performance. Also, the challenges of obtaining accurate and comprehensive feedback for business meetings, seminars, and movies are examined in this work. The proposed model provides the ability to capture emotional responses to events and content as they occur and can provide a more objective and standardized approach to feedback gathering.