Authors

Inspiration

We are deepDiagXray, a group of professionals and university researchers from the Department of Engineering school of the University of Gabes Tunisia. We are participating in a European initiative: #EUvsVirus, a hackathon organized by the European Commission, with the aim of identifying innovative solutions to respond to the COVID-19 emergency.

What it does

In the last few weeks, we have observed and studied the data relating to the X-ray images. We can early detect the COVID 19. And with application software, we can automatically identify the disease vs others using deep learning. To play our role in this huge global emergency we ideated a solution to evaluate the possibility to identify the severe symptoms of COVID-19.

How we built it

We would reach this goal creating an application\online if possible tool aimed to:

  • Share all the info on the correlation mentioned above
  • Make doctors able to test online and identify COVID 19
  • Mitigate and reduce the risk of contamination.

Challenges we ran into

The app, based on machine learning algorithms and data provided by WHO and CDC, is designed to indicate the level of risk of developing severe symptoms in COVID-19 disease.

Accomplishments that we're proud of

We are proud to employ our research results in an application which can save human lives all over the world

What's next for deepDiagXray

after the realization of this app we wish to make a campaign to diffuse it to be able to exhibit at the maximum in the world.

Try It out

Hackathons

Technologies

javascript, phython

Devpost Software Identifier

265140