WatershedIQ

WatershedIQ is a mobile + web app that turns scattered local environmental data into clear, actionable feedback about how a watershed is responding to human activity. It pulls public sources (USGS stream gauges, EPA water quality records, municipal storm events, satellite rainfall estimates) and lets users add lightweight citizen observations (odor, algae, turbidity photos, trash hotspots). The app visualizes cause-and-effect: rain → runoff → turbidity spikes → downstream algae risk, with simple “what changed?” narratives. It’s not a lab tool; it’s a decision-support dashboard for communities. An AI layer summarizes trends, flags anomalies, and generates plain-language weekly briefs for a specific creek/river segment. The product is realistic because it relies on existing datasets and small, structured user inputs rather than expensive sensors.