drop database| Surface-to-Air (Quality) Mission
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 pollution visualisation tool
This project aims to show the most polluted cities in different countries, and predicts the concentration of different chemicals in the air in the future
Challanges faced:
Collecting the data to train the Machine Learning model in order for it to be able to predict the concentration of different chemicals in air
Deploying the model on the cloud so our web-app would be able to connect to it and use it
Work with more than one APIs