Abstract :

Emotion Recognition in Customer Support using AI with Full Stack Web Development focuses on analyzing customer emotions in real time to improve service quality and satisfaction. The system uses artificial intelligence techniques such as deep learning and natural language processing to detect emotions from facial expressions, voice tone, and chat text. By integrating these models into a full stack web application, customer support agents receive instant emotional insights during interactions. This helps organizations respond empathetically and resolve issues more effectively. The proposed solution enhances customer experience, reduces escalation rates, and supports data-driven decision making. Real-time processing ensures immediate feedback during live chats or video calls. The system is scalable and adaptable for various business domains. Overall, the project bridges AI intelligence with modern web technologies to transform customer support operations.