Measuring Greenhouse Gas Emissions Using Satellite Imagery
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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
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