Increasing Renewable Energy Access in Philippines through AI
Challenge Background
The past few months have been really hot in the Philippines with temperatures up to 37 degrees Celsius. More people are reporting an increase in their electricity bills and institutions are looking to greener sources of energy.
The Problem
This initiative’s goal is to use Philippine satellite data in conjunction with other relevant dataset to identify sites that are most suitable for solar panel installation as a greener energy source through machine learning and coverage analysis.
The project results will be made open source. The aim being to help connect and encourage organizations to use AI tools to understand and plan in transition for green energy. We also hope to encourage citizen science by open sourcing the dataset and code.
Project Timeline
What you'll learn
First Omdena Local Chapter Project?
Beginner-friendly, but also welcomes experts
Education-focused
Duration: 4 to 8 weeks
Open-source
Your Benefits
Address a significant real-world problem with your skills
Build your project portfolio
Access paid projects (as an Omdena Top Talent)
Get hired at top organizations
Requirements
Good English
Suitable for AI/ Data Science beginners but also more senior collaborators
Learning mindset
Application Form
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