Projects / Local Chapter Project

Increasing Renewable Energy Access in Philippines through AI

Start Date: June 12, 2021 | 5 years ago


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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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