CrazyAir delivers the Air Quality Index to its users, which directly affects many of the SDGs targets. Also, there are many studies addressing that polluted air increases the mortality of COVID-19. Finally, the CrazyAir also allows user to see the present Air Quality Index and compare it with data from before the pandemic. Crazy air is a prototype that may also be applied to other SDGs indicators.
We chose the challenge SDGs and the COVID-19 because we aim at problems that extend beyond the pandemic crisis. The SDGs have been around for a while and they are as needed as ever now as guidelines for decision making. Besides that, we were curious to understand how the pandemic affected the SDGs indexes.
Then, we defined that we were going to tackle air quality indexes because of the implications of air quality in the COVID-19 and overall health and well-being of the population. Also, we knew that was data widely available for manipulation.
Our project was a direct result of the Team's hard work, commitment and ability to collaborate. To have such an experience and to create this professional bonds is already quite an achievement. We managed to use data from an EPA.gov API to obtain the air quality index from the request location and to use Spark AR to develop the AR Filters for each air quality range. We were very happy with the final result, considering the time we had to develop it and the visual effect we achieved.
Because of Spark AR Filters don't work with external inputs, we haven’t been able to fully integrate the solutions, meaning that we have to manually change the filters for our prototype. Also, we couldn't find FREE historical data from Brazil.
https://youtu.be/8ZCKcwKXpGU
EPA.gov
Breezeometer.com
Spark AR
Java