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

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.

Authors

• Jason Ellis
• Biplav Srivastava AI Institute, University of South Carolina
• Rachel Bellamy
• Andy Aaron

Keywords

No keywords are indexed for this paper.