Groundwater (GW), as an integral component of the hydrologic cycle, exhibits dynamic interconnections with surface water (SW) entities such as rivers, streams, lakes and wetlands. The interaction between SW and GW is necessary to be studied to understand the hydrological processes above and below the earth surface. While, decrease in GWL in arid or semi-arid regions is observed due to various factors including changing climate, land use pattern, over exploitation of groundwater etc., saltwater intrusion and water logging issues are additional problems faced in coastal areas. The relative position of GWL w.r.t SWL in coastal regions may cause salt water intrusion or water logging problems which may affect agricultural activities, use for domestic purpose and many more. For proper management of the water getting discharged or recharged due to the interaction of SW-GW, a quantitative study is important. After assessing the amount of discharged or recharged water, proper mitigation measures can be adopted to avoid the issues like saltwater intrusion or water logging for future scenarios. The main objective of this work is to understand SW-GW nexus by integrated hydrological models and AI (ML and DL) techniques under changing climate and socio-economic conditions for coastal districts of Odisha. As the coastal part of the state are expected to face water logging and salt water intrusion impacts, SW-GW interaction studies would be apt for those regions.