AI-Powered Healthcare Platform
Production conversational chatbot for a HIPAA-regulated healthcare platform, powered by OpenAI GPT-4 behind FastAPI endpoints — with prompt engineering, streaming responses, and context-window management to improve self-service rates.
Overview
A production conversational chatbot for a healthcare platform, built end-to-end — FastAPI endpoints on the backend, the OpenAI GPT-4 API for the conversation layer, and a React/Next.js interface that lets patients and staff self-serve answers without waiting on a human.
The Challenge
The chatbot had to answer healthcare queries accurately and quickly inside HIPAA constraints on how patient data is handled: responses needed to stream in rather than arrive after a long pause, and multi-turn conversations had to stay coherent without overflowing the model's context window.
Approach
Developed FastAPI endpoints to broker conversations between the frontend and the OpenAI GPT-4 API
Engineered prompts tuned to the healthcare domain so answers stayed relevant, consistent, and appropriately scoped
Implemented streaming responses so replies render token-by-token instead of after the full completion
Built context-window management to keep multi-turn conversations coherent while staying within token limits
Wired the chat UI and state with Redux and TanStack Query for a responsive, reliable conversation experience
Shipped a production GPT-4 chatbot that improved self-service rates on the healthcare platform, reducing the need for users to wait on human support.