Description of Invention
The FishSnapID project uses deep learning to develop a mobile app for identifying fish species in Malaysia. Employing DenseNet121, VGG16, and MobileNetV2, DenseNet121 achieved 99.78% accuracy with a low test loss of 0.01%. The app lets users capture or upload images for identification and provides educational resources about fish species and habitats. This initiative addresses the challenges of limited local datasets.