Hack Your Cell

What it does

Identifies whether a cell if infected by malaria

How I built it

• Using convolutional neural network, we trained over 5000 images and constructed a model with 96.5% of accuracy.
• The model is then connected to a web application, such that user can use it online.
• The web application is built with Softheon API and Google Cloud Platform.

Challenges I ran into

• Building a model, and improve its accuracy
• Connect python with front end

Accomplishments that I'm proud of

• Great accuracy improvement: our original model only has 50% of accuracy.
• Building a website with nice APIs

What's next for Hack Your Cell

• Higher accuracy

Built With

• css
• html5
• javascript
• python