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CovidDetector is a webapp where a user can join, record their cough and get an estimate on the likelihood of them having COVID-19 using machine learning. The users are also able to contribute and provide training data to help retrain the CNN model.
This project was made for classifying Covid and non-covid patients through cough sound. This is a non-invasive, inexpensive, and easy method so we can use that as the first filter
Another project for classifying Covid and non-covid patients through cough sound. Using CRNN-Attention model with the sound data converted into image data
Sickness Detection with 80% Val Accuracy. Trained on (25% of available train data~5GB for 'Pfizer Digital Medicine Challenge'). Reached to accuracy of 80% in this Demo/Prototype