Building a Conversational Medical Form with GPT-4, Langchain, and SQLite

Author(s): Souradip Pal

Originally published on Towards AI.

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Imagine you’re sitting in a doctor’s office. Instead of filling out a cold, static medical form filled with dozens of boxes to tick and questions to answer, you’re having a conversation with a friendly assistant. This assistant asks you about your symptoms, listens carefully, and follows up with questions that dig deeper — almost like it understands your situation personally. You’re not stressed, you’re not overwhelmed. It feels like you’re talking to someone who cares, someone who’s listening.

Now, what if I told you that you could build such an assistant yourself? One that’s powered by the mind of GPT-4, guided by Langchain, and stores the details of this conversation in a neat little SQLite database for doctors to review later. Sounds futuristic, right? But today, we’re bringing that future into the present.

I’m going to walk you through building a medical conversational form, a form that talks to the user, understands their symptoms, and stores their responses for future medical use. It’s not just a form — it’s a conversation.

Let’s begin our journey into this interactive world of conversational AI.

The code used in this blog has been… Read the full blog for free on Medium.

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Published via Towards AI