AAAI Publications, Thirty-Second AAAI Conference on Artificial Intelligence

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Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help With Water Usage Decisions
Jason Ellis, Biplav Srivastava, Rachel K. E. Bellamy, Andy Aaron

Last modified: 2018-04-29

Abstract


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.

Keywords


Decision Support; Water Quality; NLP; Data Analysis; User Interfaces; Chatbots; Regulations; Ethics

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