Inspiration
One of our teammates' family members has a nerve issue. Travelling to various physical therapy offices for treatment was often inconvenient since there were many schedule clashes that led to inconsistent treatment. So we decided to build a tool that makes it easy to take at home tests after doing exercises at home. These tests can be sent to a medical administrator for medical record keeping and symptom/performance tracking.
What it does
ForceFlicker allows users to perform various tests after doing different exercises. over time the webapp will be able to track and visualize their performance improvements, and give valuable insights such as best exercise and the finger movement they need more exercise and treatment to achieve the optimal.
How we built it
We took our understanding of an arduino and resistors to build a device with easy usability. The device uses an arduino connected to a breadboard, which contains resistors, wiring and force sensors. The time it took to finish each test is recorded along with other patient data, type of exercise and test type. this data is then processes using pandas to give insights
Challenges we ran into
A major challenge we encountered was creating a random pattern for the user while integrating it with the force sensor that is controlled by the user.
Accomplishments that we're proud of
We were able to provide the user with valuable visualizations of patient records.
What we learned
We learned how to apply StreamLit to a complex technological healthcare device.
What's next for ForceFlicker
Using machine learning to create futuristic predictions about patient plans
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