Green AI Hackathon
Join us for a day of hacking at the intersection of AI and sustainability! Tackle real-world challenges, connect with peers, and help build greener technology for sustainable development.
🔗 Website: https://www.greenaihackathon.com/
🔗 Hackathon Ultimate Guide: https://docs.google.com/document/d/1hWcqeMhCxt68CCpXhz5uneZQFyEfQTrqQmvEBesUutE/edit?usp=sharing
Compete in 1 of 2 tracks:
Green-in AI - Powered by Microsoft: How can we make AI more sustainable and less resource-intensive?
Challenge: Design or prototype a solution that helps people or organizations use computing power more intelligently by doing one or more of the following:
Improving compute efficiency: Reducing energy or resource use per unit of work (e.g., carbon-aware workload scheduling, adaptive scaling).
Increasing outcome efficiency: Delivering greater value, insight, or sustainability benefit per unit of energy (e.g., algorithms that accelerate climate solutions or optimize resource allocation).
Or ideally, both.
Green-by AI – Powered by Google: How can we use AI for sustainable development?
Challenge: Design or prototype a solution that leverages Google Earth Engine to turn satellite data into actionable climate intelligence. Your project should help people, organizations, or communities make more intelligent, more sustainable decisions by doing one or more of the following:
Monitor environmental change: Use Earth Engine’s satellite datasets to detect and visualize deforestation, urban expansion, or land degradation in near real time.
Predict and prepare: Combine Earth Engine’s geospatial insights with AI or machine learning to forecast extreme weather events, droughts, or flood risks — enabling earlier, data-driven responses.
Optimize for sustainability: Integrate geospatial data to improve systems like agriculture, logistics, or energy distribution (e.g., smarter food delivery routes or resource allocation that minimizes emissions).