EcoFishNet is a public network designed to combat overfishing by providing fisheries with real-time, data-driven recommendations that optimize fishing practices and enhance marine sustainability. Utilizing advanced AI algorithms, physical sensors, satellite imagery, and oceanographic data, EcoFishNet creates a comprehensive system for sustainable fisheries management. The network collects data on catch rates, fish populations, and environmental conditions, which is then processed through machine learning models to provide actionable insights on optimal fishing zones, target species, and sustainable catch limits. EcoFishNet also emphasizes environmental education through workshops and digital platforms, empowering local communities to adopt sustainable fishing practices. The initiative will begin with a pilot phase in a small town to refine its model, followed by expansion to larger coastal cities and diverse ecosystems. By promoting sustainable practices and improving economic viability, EcoFishNet aims to reduce overfishing, enhance marine biodiversity, and foster community involvement in marine conservation.