Water demand is rising globally due to population growth. The inadequate of freshwater tends to improve water desalination to tackle water scarcity. Desalination is effectively and sustainably producing freshwater from Ocean water by integrating Artificial intelligence and Internet of things. The marine water is increasingly polluted by plastics and chemical contaminants. The intelligent models focuses on combining sensor data and solid, fluid contamination governing by employing cloud based analytical software agents for real-time monitoring and optimization of oceanic water quality assessment. The Random Forest algorithm and Support Vector Machine (SVM) of intelligent models is used for robustness in handling large datasets and employs high accuracy of water quality by desalinating contaminant marine water. These AI models analyze and predict contaminant levels by the integrated agent recommendation system, that compares the processed data to potable water standards, offering real-time feedback and remedial measures. Toward improving sustainability and conservation of fresh water, the present research exhibits the intelligent oceanic water desalination by the transformation of Ocean water into fresh water as an innovative solution to the globe’s water crisis. The proposed Smart Oceanic Governing agent will not only deploy as a assessment tool but also as a recommendation system aided by Fog and Edge based decision support system predominantly developed for water treatment or pollutant reversal methodological recommendations.