Building Empathic Chabot using LSTM and NLP

This research work presents a Empathic chatbot leveraging advanced natural language processing techniques. The chatbot employs a deep learning architecture, specifically a variant of the Transformer model, to generate human-like responses in real- time. The training dataset includes diverse conversational patterns to enhance the bot's ability to handle a wide range of user inputs. The model is fine-tuned through an iterative process, optimizing for coherence, relevance, and contextual understanding. Evaluation metrics demonstrate the effectiveness of the generative chatbot in providing contextually appropriate and coherent responses across various domains. The research contributes to the evolving field of conversational AI, showcasing the potential of generative models for creating engaging and context-aware chatbot interactions.