Inspiration
Many relatives in my family has diabetes and I have seen how it affected their daily life. Machine learning has been there for quite some time. I have watched news about how machine learning improving healthcare which inspired to create this project
What it does
It takes a patient's pregnancies, glucose, blood pressure, skin thickness, insulin, BMI, age, and diabetespredigree function to predict the possibility of having diabetes on a scale of 1.0
How I built it
I used google colab which has tensorflow built into it to create this model.
Challenges I ran into
Initially, I thought my model is working properly however I forget to test the model. Additionally, having a slow computer took the runtime longer .
Accomplishments that I'm proud of
Being able to contribute to healthcare field in these unprecedented even if it's writing lines of code.
What I learned
Taking my scribble idea from a notebook and eventually executing it in a good manner in google colab
What's next for Diabetes Predictor
I would like to improve the accuracy of the model.
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