EcoDrift

EcoDrift is a web + mobile AI app that helps land managers and conservation teams detect early warning signs of ecological imbalance using the data they already have (field observations, camera traps, basic water/soil readings) plus public datasets (weather, land cover, fire history). Instead of pretending it can “predict nature,” it produces a practical risk score for specific stressors—like invasive spread likelihood, habitat fragmentation pressure, drought-driven dieback, or trophic disruption—along with the top drivers behind the score. Users can set monitoring sites, upload periodic measurements, and get alerts when trends cross thresholds. The app focuses on decision support: what to measure next, where to survey, and which interventions are most likely to matter. It’s built for messy, incomplete data and makes uncertainty explicit so teams don’t over-trust the output.