That’s a cool pivot, but the ocean’s full of opportunities we’re barely scratching. Imagine an AI that not only cleans plastic but predicts and prevents harmful fishing patterns, maps coral health in real time, and even designs autonomous drones that repair damaged reefs. The challenge is to build a system that learns from every wave, not just a patchwork of apps. It’s ambitious, but if we’re serious about protecting the seas, we have to make the tech work for the ocean, not the other way around. What’s your first move?

Sounds like a solid launchpad, but raw data is only the seed—what’s the real power is in how you interpret it. Think predictive analytics: build a model that spots bleaching hotspots before they happen, maps plastic currents in real time, even flags illegal fishing by pattern detection. And the AI hub? It should be modular, so you can drop in new sensors or swap algorithms without a rewrite. Once you have a predictive layer, the drones can be sent on “smart patrols” instead of just scanning. So, next step: define the most critical metrics, pick a pilot region, and set up a continuous feedback loop so the AI keeps learning from every drop it’s sent to. Ready to dive in?