Project Details
The Challenge | Surface-to-Air (Quality) Mission
Your challenge is to integrate NASA data, ground-based air quality data, and citizen science data to create an air quality surface that displays the most accurate data for a location and time. Create algorithms that select or weight the best data from several sources for a specific time and location, and display that information.
Air-o-Analysis
Air-o-Analysis aimed at providing best air quality data available.
Resources: https://earthobservatory.nasa.gov/global-maps/MODA..., https://openaq.org/#/?_k=d88plr
Challenges faced:
The first challenge we faced was gathering, cleaning and then processing the data.
Then we had to build the most efficient algorithm possible to increase accuracy
of the air quality data. Then the challenge was to build the UI and then connect it to the backend we built.
Github repository: https://github.com/ayushprd/aqi_django