Own product
Own product — mobile app
A fishing app for Android and iOS: AI fish recognition from a photo, a forecast, a map of waters and a catch log.
Anglers want to know when and where it is worth going, what fish they have caught and what worked for them last time. That information is scattered across weather apps, forums and notes on the phone.
The app had to bring all of it together in one place, on the phone the angler already carries to the water.
Blesno is a mobile app for Android and iOS. The angler takes a photo of the catch and AI recognises the species. The forecast gathers the weather and conditions that affect how fish bite, and the map shows the waters nearby.
The log keeps every catch with place, time, species, photo and conditions. Over time it becomes clear what works and where.
The angler has the forecast, the map and their own log in one place, and photo recognition takes seconds.
The app is our own product and shows how we take an AI mobile app from the idea to publication in the app store.
The system reads a photo or PDF (a daily menu, an accounting statement, a photo to recognise) and turns it into structured data. First it shows what it read and what it matched, without saving anything. Saving is a separate button that a person presses after checking.
We write the app once and it ships to Android and iOS, and to the web where needed. We make a fix or a new screen in one place and it reaches every phone at the same time. Different roles see different screens inside the same app.
Describe it briefly. We will tell you how we would solve it.
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