Design an AI Tool for Climate Resilience

Communities across Southeast Asia face growing risks from floods, extreme heat, haze, coastal change, and severe weather. Useful public data exists, but it is often fragmented across technical reports, maps, sensor feeds, and government portals.

Build an AI-powered tool that helps a specific community understand or respond to one local climate risk. Your project might translate technical data into neighbourhood-level explanations, compare risk scenarios, summarise changing conditions, help local organisations prioritise preparedness, or make public datasets easier to explore.

The goal is not to predict the future with false certainty. The goal is to turn credible information into a clearer decision, while communicating uncertainty honestly.

What your project should demonstrate

• A defined location, community, and climate-related decision.
• Use of at least one credible public dataset.
• Clear attribution of data sources and update dates.
• An explanation of uncertainty, coverage gaps, and model limitations.
• A working visual or interactive experience that reviewers can explore.
• A practical next action for the intended user.

What to submit

Submit a live demo, source links for all datasets, and a short methodology note. Include at least one example showing how the system behaves when data is missing, outdated, or contradictory.

Constraints

• Use public, licensed, or explicitly permitted datasets.
• Do not describe the project as an official warning system unless it is operated by an authorised agency.
• Show the source and last-updated date for risk-related information.
• Communicate uncertainty and geographic coverage clearly.
• The demo must be accessible to reviewers without a paid account.