AI Infrastructure · GitHub ·15 ★

Doctor-Assist-crewAI

This project leverages advanced AI agents from crewAI to assist doctors in diagnosing medical conditions and recommending treatment plans based on patient-reported symptoms and medical history. The solution uses Streamlit for the user interface and crewai library to define and manage AI agents and t

Details

Author
shaadclt
Category
AI Infrastructure
Platform
GitHub
Framework
crewai
Language
python
Stars
15
First indexed
2026-05-15
Last active
2024-11-16
Directory sync
2026-05-15

Overview

This project leverages advanced AI agents from crewAI to assist doctors in diagnosing medical conditions and recommending treatment plans based on patient-reported symptoms and medical history. The solution uses Streamlit for the user interface and crewai library to define and manage AI agents and t

Quick start

git

git clone https://github.com/shaadclt/Doctor-Assist-crewAI

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Doctor-Assist-crewAI can do

  • Rag — Retrieves grounded context before answering.
  • Defi — Interacts with decentralised finance protocols.

Frequently asked questions

What is Doctor-Assist-crewAI?
This project leverages advanced AI agents from crewAI to assist doctors in diagnosing medical conditions and recommending treatment plans based on patient-reported symptoms and medical history. The solution uses Streamlit for the user interface and crewai library to define and manage AI agents and t
How do I install Doctor-Assist-crewAI?
Use git: `git clone https://github.com/shaadclt/Doctor-Assist-crewAI`. Full setup details on the source page linked above.
Is Doctor-Assist-crewAI open source?
Doctor-Assist-crewAI is published on GitHub.
What are alternatives to Doctor-Assist-crewAI?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Doctor-Assist-crewAI is sourced from GitHub, published by shaadclt.

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