Water Credit AI
À propos du projet
Water Credit AI is a Flutter mobile app built in 48 hours during the UNESCO Water4Future Hackathon (February 2026, remote), designed as a water-credit marketplace for irrigated agriculture. The app offers two interfaces: a manager view (ORMVAG) tracking allocations, consumption, and transactions by basin, and a farmer view tracking personal water quotas, quick actions (irrigate, check the market, view history), and water-stress alerts. A built-in marketplace lets farmers trade unused water credits, with a real-time market price. The vision pitched to the jury went further: pairing this quota system with automated water-stress detection via Sentinel-2 imagery and NDVI indices, refined by machine learning models for irrigation recommendations — a direction explored in the pitch, but not implemented within the hackathon's timeframe. The project was presented to an international jury at the end of the 48 hours.