  We present a conversational model to apprise users with limited access to
computational resources about water quality and real-time accessibility for a
given location. We used natural language understanding through neural embedding
driven approaches. This was integrated with a chatbot interface to accept user
queries and decide on action output based on entity recognition from such input
query and online information from standard databases and governmental and
non-governmental resources. We present results of attempts made for some South
African use cases, and demonstrate utility for information search and
dissemination at a local level.
