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Local Chapter project

Pre-Challenge (Data Gathering) – Detecting Air Pollution in Nigeria using Machine Learning and Satellite Imagery

Machine LearningSatellite ImageryRemote SensingRemote sensing - Geospatial dataComputer VisionEnvironmentWeb application
Start date
May 31, 2022
Finish date
June 24, 2022
Project status
completed
Pre-Challenge (Data Gathering) – Detecting Air Pollution in Nigeria using Machine Learning and Satellite Imagery

Goal of the project

• Learn on how and where we can find the Data for the upcoming Challenge. • Gather the Data for the upcoming Challenge. (upcoming challenge goals) 1. Get a list of regions in Nigeria suffering from air pollution. 2. Identifying regions in the country that require immediate attention by the government. 3. Identifying possible causes for the air high levels of air pollution and providing recommendations to remedy the situation.

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.