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

Jason B. Ellis, Biplav Srivastava, Rachel K. E. Bellamy, Andy Aaron

AAAI 2018 pp. 8198-8199

doi:10.1609/AAAI.V32I1.11374 /aaai/2018/ellis2018aaai-water/

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.

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Text

Ellis et al. "Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help with Water Usage Decisions." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.11374

Markdown

[Ellis et al. "Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help with Water Usage Decisions." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/ellis2018aaai-water/) doi:10.1609/AAAI.V32I1.11374

BibTeX

@inproceedings{ellis2018aaai-water,
  title     = {{Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help with Water Usage Decisions}},
  author    = {Ellis, Jason B. and Srivastava, Biplav and Bellamy, Rachel K. E. and Aaron, Andy},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {8198-8199},
  doi       = {10.1609/AAAI.V32I1.11374},
  url       = {https://mlanthology.org/aaai/2018/ellis2018aaai-water/}
}