Covid-19

Disease-Diagnosis-Flask.


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Project Date August, 2020
Technologies Python, Flask
Machine Learning, NLP
Visit Github

COVID-19 tests are currently hard to come by — there are simply not enough of them and they cannot be manufactured fast enough, which is causing panic.
When there’s panic, there are nefarious people looking to take advantage of others, namely by selling fake COVID-19 test kits after finding victims on social media platforms and chat applications. Given that there are limited COVID-19 testing kits, we need to rely on other diagnosis measures.

To do so, I used Kaggle’s Chest X-Ray Images (Pneumonia) dataset and sampled 25 X-ray images from healthy patients. There are a number of problems with Kaggle’s Chest X-Ray dataset, namely noisy/incorrect labels, but it served as a good enough starting point for this proof of concept COVID-19 detector.
After gathering my dataset, I was left with 50 total images, equally split with 25 images of COVID-19 positive X-rays and 25 images of healthy patient X-rays.