Real-world context
Communities generate signals about their own problems — complaints, photos, sensors — but no one connects the dots. AI could surface patterns people can act on.
The challenge
Design an AI-powered system that helps communities identify local problems. Study who is affected, dig past the obvious symptoms to the real root causes, and design a solution that could actually work in the real world. There is no single correct answer — what matters is the quality of your thinking, the stakeholders you consider, and how clearly you justify your chosen direction.
Reflection prompts
- Who is most affected by this problem, and how did you account for them?
- What is the single biggest risk to your solution working?
- Which assumption, if wrong, would break your whole idea?
