Makerere University’s google funded AirQo project has called upon passionate and interested individuals to participate in an Air Quality forecast challenge.
The startup which uses Artificial Intelligence to monitor the Quality of Air in Uganda (initially Kampala) has partnered with Zindi Africa and the University of Birmingham to make this happen.
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The objective of the Challenge
The Ugandan Air Quality forecast challenge is aimed at accurately forecasting air quality for each hour of the coming 25 hours across five locations in Kampala Uganda.
Due to the vast data available from AirQo, with their network of sensors around Kampala, this will serve the competition well.
With these forecasts, the information will be used to inform public awareness and be built into safety alerts. This data is essential in empowering governments, and families to make informed decisions to protect health and guide action, Zindi reports.
Who is Eligible
Anyone who is interested in Building on and using their Data skills to predict Air Quality can participate.
This means that those who are passionate about Data Science, A.I enthusiasts and Machine Learning experts can join in and line up for the challenge.
Over 249 data scientists have so far signed up, so you better dash off and to register. Fund out how you can Sign Up below.
Read more about the challenge here, and see how to be apart of it.
Sign up for the Uganda Air Quality Challenge
- First, visit the Zindi official Website
- Then sign up on Zindi here
- After there, go under the Competitions bar
- Click on the Uganda Air Quality Challenge and Click Join Competition
The Deadline for signing up is 31 May 2020.
The Prizes to be won
| Position | Prize (USD) |
|---|---|
| 1st | $1,250 |
| 2nd | $750 |
| 3rd | $500 |
| Implementation | $2,500 |
About The AirQo Project
AirQo is a research initiative of the College of Computing and Information Sciences, Makerere University, Kampala, Uganda.
For over three years it has been developing monitoring devices suitable for the local context to address the lack of air quality monitoring in the country.
In 2019 AirQo received a grant from Google.org which enabled them to increase the scale of the network, adopt a cloud-based platform for community network management and make use of machine learning to make the best use of the data including calibration, device placement, making spatial and temporal forecasts and more