Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help With Water Usage Decisions

Ellis, Jason (IBM Research) | Srivastava, Biplav (IBM Research) | Bellamy, Rachel K. E. (IBM Research) | Aaron, Andy (IBM Research)

AAAI Conferences 

We demonstrate Water Advisor, a multi-modal assistant to help non-experts make sense of complex water quality data and apply it to their specific needs. A user can chat with the tool about water quality and activities of interest, and the system tries to advise using available water data for a location, applicable water regulations and relevant parameters using AI methods. Figure 1: Sample advisories - by EPA for Flint residents (left) and by state for visitors (right; Washington State).

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