README.md

Author: rasmodev

README.md

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 This repository houses a machine learning project focused on the early detection and classification of sepsis, and integrating the model into a web application using FAST API.
 
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 This project aims to provide a streamlined tool for healthcare professionals to predict sepsis cases quickly and effectively.
 
+## Summary
+| Jupyter Notebook | Published Article| Link To Working App on Hugging Face
+| ------------- | ------------- | -----------------
+|[Notebook with code and full analysis](https://github.com/rasmodev/Sepsis-Classification-ML-Project-with-FastAPI-Deployment/blob/main/dev/Sepsis_ML_Prediction_Deployment_With_FastAPI.ipynb)| [Published Article on Medium](https://medium.com/@rasmowanyama/fastapi-for-machine-learning-deployment-a-beginners-guide-ee74ee41316f) |[Link to working FastAPI](https://rasmodev-sepsis-prediction.hf.space/docs/)
+
 # Project Overview:
 **i. Data Collection and Preprocessing:** We collected and preprocessed a comprehensive dataset containing clinical and physiological data from patients to train and evaluate our sepsis classification model.