Consumers of the fish market around the world face problems in the identification of fish species and people need to obtain expert assistance to do so. This situation is typically the same in Gaza Strip, the local fish market lacks such an application that exposes people to fraud by some sellers. On the other hand, many poisonous and exposed fishes were caught and sold in the fish market in Gaza Strip. Thus, in this work, an innovative mobile application is proposed for identifying fish species that are commonly available in the Mediterranean Sea and therefore in the local fish market. A considerable number of fish images as a dataset were obtained from El-Hesba and auction markets located next to Gaza Fishing Harbor of Gaza as well as aquaculture farms. The AlexNet was chosen for the proposed model. Moreover, RELU SOFTMAX was chosen for the main network the model exhibit accuracy of 80 %, 0.788 precision and recall of 0.631.