:-The marine food industry in Sri Lanka has experiencedtremendouscommercialsuccess.Beinganislan dnation, Sri Lanka’s economy has an impact on both its domestic and export sectors. Both the social and economic sectors are impacted by a successful fish catch. Seafood may considerably contribute to our nutritional needs because it is a source of high-quality protein, vitamins, and minerals while being low in saturated fat. For a very long time, practically every nation on earth has included fish in considerable quantities in its citizens’ diets. Smart fish consumption improves people’s chances of living long, healthy lives. The ability to recognize, detect, and determine the value of what individuals use is made possible by the technological implementation of this unique idea. The Four key functionalities food fish price prediction, food fish species identification, whole fishqualityidentification,andfishfilletqualityidentification were presented in order to achieve the specific solution. The suggested approach was implemented using Multiple Linear Regression and Convolutional Neutral Network (CNN) algorithms which are EfficientNetB7, InceptionV3,Resnet50.

Keywords : Multiple Linear Regression, Convolutional Neu tral Network, quality identification, price prediction.