Some details
The Challenge:
Creation of a platform for scientific, marine and anglers.
Tool for photo acquisition and construction of AI models of fish recognition.
Online accessibility and mobility.
The Solution:
For the FishAngler, we have designed and implemented a unified platform to collaborate on different actors to create the world',s largest fish photo training base.
We have created an AI/Machine Learning/Computer Vision technology-assisted editor to automatically shape and identify fish attributes.
We have developed AI/Machine Learning models that support the work of the editor and create polygons describing the fish to optimize the time of classification of the photo.
The platform',s development plans include using the acquired photo base to build more AI models recognizing any species of fish in the world.
Dedicated for:
- Anglers
- Marine Biologists
- Scientific communities
- Universities
- Government institutions
The Results:
Project appreciated by the Con X Tech Prize jury and qualified as top 20 prize finalists.
Design delivered in flexible Time &, Material model.
The project developed in Scrum methodology.
Continuous cooperation and development of new functions.
100% deployment environment on Google cloud.
Ultimately, more than 50 million users in the United States.
More:
https://codahead.com/fishial
