Aquanutri: A Mobile Platform for Skin-Based Deficiency Detection and Nutrient-Rich Fish Recommendation

Abstract

AQUANUTRI functions as a modern AI-powered system which examines skin images for nutritional deficiencies while promoting sustainable fish farming on terraces for dietary improvements. This system distinguishes visible skin symptoms related to vitamin and mineral deficiencies using a CNN named ResNet50 that operates on a DermNet dataset which received specialized training. The system references identified deficiencies to its fish database and suggests personalized recommendations based on user location together with environmental conditions ranging from freshwater to brackish to marine conditions. AQUANUTRI functions by referring suitable fish species which maintain nutritional richness for small aquaponic farming ac- tivities whereas the information point toward eco-friendly self- sufficiency options. AQUANUTRI emerges as a valuable solution for nutritional health management because it implements deep learning connectivity between expert-data and inexpensive agri- cultural recommendations.