Inspiration
Our inspiration is the fact that most of us happen to know someone diagnosed with diabetes and with this project, we want to mitigate the health disparities among minorities and provide more accessible healthcare.
What it does
Our project takes information from a continuous glucose monitor and uses machine learning to analyze health metrics to determine if a patient is at risk of developing DKD. It also provides the healthcare provider with accumulated data of the patient's compliance with following treatment plans so that the provider can know how to treat the patient better.
How we built it
We used an Arduino Uno R3 to simulate the CGM, getting biometric data from the patient. Through the "CGM," we would analyze the data and send the risk, compliance, and other alerts to the provider.
Challenges we ran into
Because of the hackathon's timeline, there were obvious time restrictions. Not everything is set in stone. The patch itself is not fully developed yet, but the Arduino simulates the data the patch would be getting over the time span that it was active.
Accomplishments that we're proud of
We got to experience our first hackathon and developed a minimal viable product (MVP).
What we learned
We learned about using HTML and Streamlit for creating websites with our computers as hosts. We also learned how to use GitHub and work as a team.
What's next for NoteMD
We aim to implement NoteMD on other websites that doctors use so that it becomes more accessible worldwide.
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