Water Health Signal

Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Water Health Signal

Overview

Water Health Signal is a small, explainable proof-of-concept for OneAquaHealth’s resilience and AI-supported assessment themes. It converts a few water-quality observations into a transparent community-health risk signal and suggests human-review actions.

Problem

Citizen and field observations can be difficult to interpret quickly. Communities need an understandable way to spot potential concerns without treating an automated score as a diagnosis or an official public-health decision.

Prototype

The local Python prototype accepts turbidity (NTU), nitrate (mg/L), and whether coliforms were detected. It calculates a bounded score, labels the result low/moderate/high, and returns level-appropriate next steps. The included demo produces a score of 5.9 (high), with “boil-water advisory candidate” and “escalate to authorities” actions.

Human in the loop

The output is deliberately advisory: it supports validation, follow-up sampling, and escalation to qualified authorities. It does not replace laboratory confirmation, professional assessment, or official advisories.

Next steps

A fuller implementation could add citizen-science intake, validation checks, trend and map views, explainable alerts, and integrations with environmental and health data using appropriate interoperability standards.

Built With

• python