The current state of the country was our main motivation for the project. There is obviously many people who are not taking the coronavirus situation seriously, and we want to change that by making it easier to be informed and thus stay safe.
What it does
Our program aggregates relevant Covid-19 data and information to make coronavirus more accessible. The project also provides a tool for individuals to analyze the busyness of a particular venue before departing for that location.
How we built it
We used Google's big query API to access data from the Covid-19 public forecast dataset. We combined this with the New York Times API to create a program that has all the relevant information in one place. BestTimes API was used for the tool that returns the traffic of a particular business on a day.
Challenges we ran into
Besides the struggles of using unknown tools, we struggled with finding a specific tool that fit our needs for the project. Many of the tools available had a price tag on them, so with the budget that we had ($0), we had to make due without them.
Accomplishments that we're proud of
The entire project itself. This is our first hackathon that we have successfully met our goal and completed a sufficient amount of work to present.
What we learned
The project was a good learning experience for all of us. We've learned valuable tools such as Flask and the use of new APIs.
What's next for DailyCOVID
Although we have created a website for the project, we want to eventually expand to a mobile app, making it more easily accessible to the public.