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The Patient Assistant Chatbot is an intelligent conversational agent designed to assist patients by providing timely information about their medical appointments, medications, and other health-related inquiries. Leveraging the power of Django, Neo4j, WebSockets, and advanced AI models, this chatbot offers a seamless and secure way for patients to interact with their healthcare data.
The project is built using a modular architecture that integrates various components to deliver a cohesive chatbot experience. Here's an overview of the system's architecture:
Defines the Patient model with relevant fields and establishes signals to populate graph data in Neo4j upon saving a patient instance.
Handles the synchronization of patient data from the SQL database to the Neo4j graph database, ensuring that all relevant nodes and relationships are accurately represented.
Manages real-time communication between the client and the server, handling incoming messages, generating AI responses, and sending them back to the client.
