Projects / Top Talent Project

Measuring Greenhouse Gas Emissions Using Satellite Imagery

Project Started!


Omdena Featured image

This is a paid opportunity. In order to be eligible to apply for this project, you need to be part of the Omdena community and have finished at least one AI Innovation Challenge.

You can find our upcoming AI Innovation Challenges at https://omdena.com/projects.

The problem

GHG (Greenhouse gas) governance isn’t measured in real-time and to do so, heavy equipment is required. The aim of this project is to help corporates understand their current emission thus aid in lessening GHG emissions.

The project goals

  • To build an AI algorithm that would predict GHG governance with various data points available.
  • The created algorithm can implement prediction and forecasting methods using previous data points.
  • The target would be to reach an accuracy of >95%.

**More details will be shared once the project is joined.

Why join? The uniqueness of Omdena Top Talent Projects

Top Talent opportunities come as a natural next step after participating in Omdena’s AI Innovation Challenges.

Everyone in the community is eligible to participate once they have shown the relevant skills based on the merit of involvement in past Omdena challenges and the community.

If you are looking for the next challenge after participating in one or more Omdena AI Innovation Challenges, then we believe you have made the right choice! With a healthy, pressured environment, you will be pushed to contribute, learn and grow even more.

Find more information on how an Omdena Top Talent Program works

First Omdena Project?

Join the Omdena community to make a real-world impact and develop your career

Build a global network and get mentoring support

Earn money through paid gigs and access many more opportunities



Eligibility to join an Omdena Top Talent project

Finished at least one AI Innovation Challenge

Received a recommendation from the Omdena Core Team Member/ Project Owner (PO) is a plus



Skill requirements

Good English

Machine Learning Engineer

Experience working with Smartphone Sensor Data is a plus.



This project is hosted with our friends at


Application Form
media card
Building AI-powered Early Warning System for Extreme Weather Conditions in Tanzania
media card
Optimizing the Accuracy & Explainability of Medical Insurance Claim (Fraud, Waste and Abuse) FWA Detection by Leveraging AI & Anomaly Detection
media card
Eradicating Malaria with Ethnopharmacology and Artificial Intelligence

Become an Omdena Collaborator

media card
Visit the Omdena Collaborator Dashboard Learn More