Global Wetland Guardian AI

Global Wetland Guardian AI

The Story Behind Global Wetland Guardian AI

Last year, four of us planned a trip to the Sundarbans. Months of planning, a shared spreadsheet, train tickets booked early, the kind of trip you save up for and actually look forward to. We reached the river port, got on a boat into the mangroves, super excited to finally see it with our own eyes.

But it didn’t go the way we imagined. The weather flipped without warning, what looked like a normal cloudy morning turned into hours of rain, and our boat couldn’t go further into the creeks. We missed the one watchtower we were most excited about because boats stop running after a certain hour and nobody told us that beforehand. One night there was a sudden storm warning and we had to cancel part of the trip completely. We came back tired, a bit let down, and honestly the whole trip just felt incomplete. Not because the Sundarbans wasn’t beautiful. It was stunning. Just because we walked in completely unprepared for it.

What hit harder was what we heard from the local people there.

One boatman told us he lost almost a full week of income during a flood that came out of nowhere, he just didn’t see it coming in time to even protect his boat. A fisherman said this happens to him a few times a year too, he goes out, the weather turns, and he comes back with nothing, sometimes with a damaged net or boat on top of it. A guy who runs a small cottage by the riverside told us one bad flood once wiped out a chunk of his bookings and damaged his property, because there was no warning telling him “hey, this is coming, get ready.”

For us, that was just a disappointing trip. But for these guys, the boatman, the fisherman, the cottage owner, this is their daily bread. One bad day on the water can literally mean no food on the table that night.

And the wild part is, almost every single one of them said the same sentence. “If only we had known beforehand.”

That sentence is basically why this project exists.

We always wanted to build something like this. We just never had the right push for it. This hackathon gave us exactly that.

So we built Global Wetland Guardian AI. On the dashboard, you pick your country and your wetland region, Sundarbans or literally any wetland in the world, and the whole platform becomes aware of your location. This alone would’ve told us something like “boats stop running after this hour” or “rain is expected in your zone today” before we even left the hotel.

The part that actually solves the deeper problem is our AI chatbot, powered by Google Gemini. Remember the boatman who lost his boat to that sudden flood? With this, he could just ask “is it safe to take my boat out today” and get a real answer back, not just a number, actual guidance he can act on. The fisherman could ask “should I go out today” before risking his net and basically his only income. The cottage owner could ask about flood risk before it hits his property, not after it’s already gone.

We also built an alert system, storm warnings, flood risk, unsafe conditions, sent before the damage happens, not after. Plus an interactive map so you can actually see the water channels and the wetland itself instead of guessing your route like we did.

And since this isn’t just a Sundarbans thing, it’s a wetlands everywhere thing, we added multilingual support too, so a fisherman in Bangladesh and a tourist from somewhere else entirely can both use this in their own language.

One thing we want to be upfront about, this AI doesn’t make the decision for anyone. The boatman, the fisherman, the tourist, they still decide. We just make sure that this time, they’re deciding while actually knowing what’s coming, instead of finding out the hard way like we did.

That’s the story behind Global Wetland Guardian AI. Built off a real trip, real stories, and people who just wished they’d known..