 The study presented an application that uses a machine learning algorithm to identify fish species found in Lady Gulf. The model was trained using 467 fish species and 6,918 images, achieving an accuracy rate of 96.49% and a loss value of 0.1359. During validation and testing, the model obtained 82.81% and 80.58%, respectively. The study concluded that the model performed well in identifying malatindic and sap sap species, but had difficulty distinguishing between hangit and other species due to their similar features. This article was authored by Gil Gaborne's Geologo, Larmi Santos Felescuzzo, and Elmer Asilo Maravillis.