Inspiration
In 2022, over 600,000 American deaths either directly or indirectly resulted from high blood pressure. Most current devices to measure blood pressure are in doctor's offices but there are also at home devices that can measure blood pressure. Most of these devices will provide the blood pressure measure a single time but is unable to show trends over time. A device that is currently on the market connects the physical device with software, however, the trends it provides does not further extrapolate to tell users if they should seek medical care or predict times when the user may be particularly stressed. That's where our product comes into play.
What it does
Our web app, PressSure, will directly connect to an at home blood pressure tester via bluetooth. It will save a users data and generate graphs to demonstrate their blood pressure trends over time. Using machine learning to analyze the data trends, we will recommend techniques to the user when the user's readings are predicted to rise.
How we built it
The current prototype utilizes HTML, CSS and JavaScript to create a web application that users can interact with.
Challenges we ran into
This web application would ideally be implemented on IOS/Android, however, we were unfamiliar with the languages that are used to make apps. In addition, we spent a long time deliberating the details of our ideas that left us with not too much time to implement our ideas.
Accomplishments that we're proud of
We are proud of idea and the code we were able to implement. We spent almost 20 hours on idea deliberation and lost two teams (to another project idea) so we are proud of our perseverance and ability to collaborate despite these challenges.
What we learned
We learned how to use Figma during one of the sessions and considered using it. Most importantly we utilized some of what we learned in the Web Development session to implement in our design.
What's next for PressSure
The next step for PressSure is to buy an at home blood pressure machine and connect it to bluetooth. From there, we will extract the data obtained from the machine to store it in our application. Furthermore, we will also learn Swift to begin development for an IOS/Android application.
Log in or sign up for Devpost to join the conversation.