Real-time Conversational AI Application for Healthcare Domain

Abstract

Real-time Conversational AI Application for Healthcare Domain's main goal is to create a real-time communication system 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 Conversational AI applications an Intelligent Virtual Assistants(IAV), which converse like a human being. An IAV is used for computer programs that conduct a natural language via speech to text, understand the user's intents, and respond based on the organization's/business company's and healthcare patients/doctors with rules and data. 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.