This is a client-server application for COVID-19 diagnosis with two methods. The first method is to calculate the probability of infection based on symptoms. A multylayered neural network MLP file was trained based on Covid-19 patients symptom dataset for this purpose. The second method is to diagnose the infection based based on X-ray image of chest. A convolutional neural network CNN file was trained using Tensorflow 2.5.0 based on COVID-19 Chest X-ray Image Dataset.

This application has been created as an assignment in ENGR 5710G: Network Computing course instructed by Dr. Mahmoud at Ontario Tech University.