Healthcare

This learning project showcases the application of the Model Context Protocol (MCP) to develop conversational AI interfaces that simplify complex technical operations. It enables users to interact with databases and systems using natural language chat, streamlining tasks like appointment management, therapist discovery, and patient data retrieval. By leveraging AI agents, Retrieval Augmented Generation (RAG), and a robust NestJS backend with MongoDB, the project demonstrates how to build intuitive systems that reduce the need for specialized technical knowledge, significantly enhancing user experience and productivity in domains like healthcare.

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