Inspiration

I always had a problem with feeling sick but not knowing what my symptoms entail. That is why I decided to make this website to help us get a better understanding of what potential diseases we may have based on our symptoms, and in a world where we are expected to do more and more and have less time to take care of ourselves, this website will help us be more aware of the dangers to our bodies and treat them.

What it does

The website uses tensorflow deep learning to predict what disease we have based on our symptoms. You can then search that disease up on the disease catalog to learn more about it. Always consult a doctor if you feel the need to take action on the results.

How we built it

I used React for the backend. The frontend also used React, html, and css. The backend also needed flask to utilize python's machine learning capabilities. I also needed tensorflow to create, train, test, and save the model. I also imported React libraries to help with Routing and state management.

Challenges we ran into

I found the dataset challenging to find. I also needed to learn how to use tensorflow as I had not used it before.

Accomplishments that we're proud of

I am proud of having used tensorflow and neural networks to create disease prediciton.

What we learned

I learned how to better use neural networks and to actually use it with a deep learning library like tensorflow, as I had mostly been learning theory before.

What's next for Home Disease Detector

I can use the Google Place api to make recommendations to nearby doctors or hospitals to make things even more convenient.

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