Real-time Conversational AI Application for Healthcare Domain

Abstract

Real-time Conversational AI Application for Healthcare Domain’s primary goal is to create a real- time communication plan to reduce low-pitch sounds and noise levels. We’re using Nvidia Nemo SDK, Nvidia Riva, Amazon Services, and open-source platforms like RASA and Facebook Blender 2.0 chatbot. Our chatbot differs from conversational AI-based chatbots because neural networks are used in text mining consumer feedback. We can say that Conversational AI applications are Intelligent Virtual Assistants (IAV), which converse like a human being. An IAV is used for computer programs that converts a natural language via speech to text, understand the user’s intents and respond by using rules and data from healthcare providers and organizations. We have used BERT and GPT ConvAI models for finetune and pretrained them with some datasets. Neurodegenerative disease patients need a therapist for recovery, so our conversational IAV helps them cure, and the patients do not feel lonely.