DiagnoticaX

• 

  Interface

Inspiration

The inspiration comes from seeing the great advances of AI in medicine and how it has been able to help significantly in this field.

What it does

A diagnosis of COVID-19 in chest X-ray radiographs

How we built it

Through the use of libraries such as Keras, Tensorflow and PyQt5 all this in the Python language, in addition to the use of the PyCharm IDE and Google Colab.

Challenges we have encountered

Creating GUI applications in Python

Accomplishments we are proud of

Succeeding in designing a native desktop application and using a built model. Besides being a great individual challenge for me.

What we have learned

The use of PyQt5

What's next for DiagnoticaX

Develop security tests and improve application performance.

Built With

• densenet-201
• google-colab
• keras
• pyqt5
• python
• tensorflow