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Deployment Machine Learning Model

This project is an implementation of Convolutional Neural Network (CNN) in the context of red blood cell classification to distinguish thalassemia variations.

It will be deployed to Streamlit to facilitate the use of the model to make it more interactive.

Run Online from Streamlit

  • Open link
https://thallasemia-project.streamlit.app/

  • Upload image blood from "data uji" folder

  • Click "Predict" button

  • See the result

Run Locally

Clone the project

  git clone -b Deploy https://github.com/sains-data/Thalassemia-Classification-CNN.git

Go to the project directory

  cd Deploy

Install dependencies

  pip install -r requirements.txt

Start the server

  streamlit run app.py