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A streamlit app that uses a machine learning model to predict disease based on list of symptoms

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guillechuma/disease_prediction

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Project

A streamlit app that uses a machine learning model to predict disease based on list of symptoms

Installation

This repository contains three ways to setup the environments and run the app.

Easiest: docker

  1. If you have docker install, just run
docker run -p 8501:8501 guillechuma/disease_pred_streamlit
  1. See the app at https://localhost:8501

Easiest: conda

  1. Run this command
conda env create -f environment.yml

Easy: pip

  1. Run this command inside python environment
pip install -r requirements.txt

How-to

  1. Clone repository locally
  2. Create and activate conda/python environment as specified above.
  3. inside the project folder, run
streamlit run app.py

Enjoy!

Data Source

https://www.kaggle.com/datasets/itachi9604/disease-symptom-description-dataset

Author

Guillermo Chumaceiro

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A streamlit app that uses a machine learning model to predict disease based on list of symptoms

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