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Multiple Disease prediction Web app hosting ML model generated Prediction systems to identify diseases accurately based on user experienced symptoms and report values.

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Shreyas-SAS/Medigenix

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Medigenix

The model has been deployed using Streamlit Cloud at Medigenix
alt: https://shreyas-sas-medigenix-medigenix-fvafo5.streamlitapp.com/

Multiple Disease prediction Web app hosting ML model generated Prediction systems to identify diseases accurately based on user experienced symptoms and report values.


README Contents

  1. Sections of Web App
  2. Technologies
  3. Model Links
  4. File Storage
  5. Environment Setup

Sections of Web App

Acurate disease prediction model for Critical Disease Analysis

  • Diabetes Prediction Model
  • Heart Disease Prediction Model
  • Parkinsons Disease Prediction Model

Additions pending:

  • Retinal Disease Prediction Model
  • Breast Cancer Prediction Model
  • Skin Caancer Prediction Model

Technologies

The prediction Web App uses the following Technologies to work well:

  • Python (Web App + ML Models)
  • Streamlit library (Web App)
  • Pandas (ML Model)
  • Numpy (ML Model)
  • SciKit Learn (ML Model)
  • Pickle (Web App)
  • streamlit-option-menu (Web App)

Model Links

  1. Diabetes Prediction Model: github

File Storage

To Be updated...


Environmental Setup

To Be updated...

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Multiple Disease prediction Web app hosting ML model generated Prediction systems to identify diseases accurately based on user experienced symptoms and report values.

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