Customer service robots are becoming more common, but they often lack the ability to understand emotions. What if we developed an AI system that uses facial recognition and sentiment analysis to detect customer emotions in real-time? By analyzing micro-expressions and voice tones, these robots could tailor their responses to be more empathetic and helpful. Using convolutional neural networks (CNNs) for facial recognition and recurrent neural networks (RNNs) for voice analysis, this tech could create a more human-like customer interaction experience. This could be particularly useful in industries like hospitality, where emotional intelligence is key.
