COVID-19 Detection

   

This repository contains all the materials related to the implementation of a Hybrid Machine Learning model to predict if an individual has contracted COVID-19 from the symptoms they experience and from the X-Ray scans of their chest (lungs).

Please make sure that you change the existing path specification with your custom directory path in the source code. I have deployed this Hybrid Machine Learning model on HuggingFace as a Gradio Application. Simply click on the Open in HF Spaces button to check it out.

KAGGLE DATASETS

1. https://www.kaggle.com/datasets/hemanthhari/symptoms-and-covid-presence
2. https://www.kaggle.com/datasets/prashant268/chest-xray-covid19-pneumonia
3. https://www.kaggle.com/datasets/preetviradiya/covid19-radiography-dataset
4. https://www.kaggle.com/datasets/amanullahasraf/covid19-pneumonia-normal-chest-xray-pa-dataset/code?select=pneumonia
5. https://www.kaggle.com/datasets/sachinkumar413/covid-pneumonia-normal-chest-xray-images
6. https://www.kaggle.com/datasets/unaissait/curated-chest-xray-image-dataset-for-covid19
7. https://www.kaggle.com/datasets/gibi13/pneumonia-covid19-image-dataset