fbpx AI for Good Challenge: Providing Renewable Energy for African Communities

Providing Renewable Energy for African Communities

If you are an (aspiring) data scientist, AI engineer, or an enthusiast just starting your AI journey, apply for the following two-month challenge to boost your skills on real data while helping people in Nigerian communities who lack energy access. The challenge starts on October 28th.

The Problem

Nigeria is only able to supply power to half of its population of 198 million. Many communities are not connected to the national electricity grid altogether. Either they have very limited access to energy or only work with environmentally devastating fossil fuel.

Fossil fuel (power generating sets, e.g. with diesel) to generate electrical and mechanical energy is expensive, unsustainable, noisy, and health-threatening, which leaves these communities impoverished.

The challenge partner RA 365, a newly established Nigerian NGO, is on the big mission to leverage Artificial Intelligence for policymakers and funders to make the right decisions to contribute to a more positive future for these communities.

The challenge goal

You will help to improve the current situation by leveraging satellite imagery analysis in the following ways,

1. Build model(s) to classify regions based on the availability of sunlight and the performance index of solar panels.
2. Determine the communities, which are most in need of immediate action through building heatmaps that show consumption, cost, and lack of energy supply in certain areas.

In addition, due to the unavailability of portable water in many Nigerian communities, in this challenge, we will explore underwater signal analysis to detect the areas that are suitable for borehole drilling to save scarce resources from being wasted on futile endeavors.

Apply and be one of 40 collaborators to make a real-world impact.

Impact
We welcome (aspiring) data scientists, AI engineers, and enthusiasts who just started their AI journey but are eager to solve a real-world problem.
Requirements:
  • Good English
  • A good/very good grasp in computer science and/or mathematics
  • Student, (aspiring) data scientist, AI engineer, data engineer
  • Programming experience with C/C++, C#, Java, Python, Javascript or similar
  • Understanding of ML and Deep learning algorithms.
  • Availability of around 15-20 hours a week.
Your benefits:
  • Working with world-class mentors and domain experts
  • Making international friends in a fast-growing supportive community of collaborators
  • Boosting your technical skills, problem-solving capabilities, and international collaboration
  • Building your personal brand and publishing your own articles on our website and blog
  • Certificates of participation and references

Community Collaborator (Renewable Energy)