Inspiration
“One in three has a lifetime risk of developing diabetes.”
What it does
We took the health information of diabetic and non-diabetic people to train an AI to predict if a person has a risk of diabetes.
How we built it
Deep Neural Network
Challenges we ran into
While testing our AI, we realized that our dataset was not perfect and that there were invalid values. Hence, we had to fill in the values with the [mean/median] of the data This allowed us to get a higher accuracy when trying to determine if our patients had diabetes
Accomplishments that we're proud of
We are all first year students and we enjoy the journey very much.
What we learned
Kindle is a perfect cover for cup noodle.
What's next for 10rings
More hackathons!
Built With
- python
- sklearn
- streamlit
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