Build a machine learning model to understand and respond to customer queries in real-time.
Implement natural language processing techniques to accurately interpret customer messages.
Train the model on historical customer interactions to improve response accuracy and efficiency.
Evaluate the performance of the Conversational AI system through metrics such as response time, accuracy, and user satisfaction.
Collect and preprocess a dataset of customer support conversations.
Design and implement a neural network architecture for the Conversational AI system.
Develop algorithms for sentiment analysis and intent detection.
Optimize the model for scalability and real-time performance.
Conduct experiments to measure the system's effectiveness and make improvements as needed.
