Inspiration
The inspiration of this project is the current health and medical crisis that is drastically shaking the world. Because the COVID19 virus is so novel and hard to track, there is very little reliable information to be found, and this creates fear.
What it does
The goal of BeaverHealth is to attempt to educate its users and help them make healthy decisions based off their actions and travels, as well as try to predict where the disease will grow by taking into account the risk-factors of Beaver's users.
How I built it
The backend of BeaverHealth is built through R, as it is mainly a statistical analysis of the spread of the virus. To build the backend, we used the COVID-19 Canada Open Data Working Group, as a database, and had inspiration from previously existing COVID-19 R models such as Dr. Guangchuang Yu's nCOV2019 R prediction model. The front end was built through an IOS app designer.
Challenges I ran into
R is a very tricky language to use, and we began this hackathon with very little knowledge about it. Our main challenge was therefore attempting to build a proper model.
Accomplishments that I'm proud of
We are very proud to have designed an application and a concept for BeaverHealth in such a short time
What I learned
Working as an efficient team without the in person interactions is very hard, and we had to quickly adapt to this new work environment to move forward with our project.
What's next for BeaverHealth
We will need to update the database as it is still missing a lot of information, the backend will also need to be greatly improved as there were a few assumptions made in the statistical analysis that might not have been correct. The app itself will also need to be built as it is currently only a prototype.
Log in or sign up for Devpost to join the conversation.