Covid Detection using X Rays

• 

  Confusion Matrix(Evaluation Metric Result)

Inspiration

A way to fight against the novel coronavirus

What it does

a tool through which we can easily classify a given X-Ray as Covid positive or negative and Pneumonia positive or negative. X-ray or CT-Scans are used as inputs.

How we built it

This is done through a novel deep neural network-based model largely inspired by the VGG16 architecture.

Challenges we ran into

The availability of dataset and accuracy

Accomplishments that we're proud of

Final accuracy greater than 90% in detention of Covid using X rays

What we learned

Machine learning and its practical application

What's next for Covid Detection using X Rays

Increasing the accuracy with help of my team someday and making a website for same for social good

Built With

• cnn
• data
• machine-learning
• python