COOS development program is a science-driven initiative by the OILAB that aims to build a prototype ocean observation system to deliver real-time data in order to address critical science questions regarding the role of dynamic monsoonal climate in the Bay of Bengal large marine ecosystem. The objective of the program is to create a dynamic, real-time network of sensors that monitor key ocean parameters, feeding this data into sophisticated ocean models, leveraging the power of ‘IoT’ (Internet of Things) and advanced algorithms to enhance accuracy in hydrodynamics, wave modeling, and environmental forecasting. To achieve this, OILAB are incorporating various sensors specifically designed for marine environments, such as: (1) CTD Sensors (Conductivity, Temperature, and Depth): CTD sensors are critical for measuring the conductivity and temperature of seawater, which helps us determine salinity and understand water mass formation. These sensors will provide essential input data for models like ROMS (Regional Ocean Modeling System) and SWAN (Simulating WAves Nearshore); (2) ADCP (Acoustic Doppler Current Profiler): ADCPs are essential for measuring current velocities across a water column. This data is crucial for understanding water circulation and ocean dynamics in coastal regions, feeding data into hydrodynamic models such as Delft3D; (3) Wave Buoys: These buoys measure wave height, direction, and frequency, providing real-time data for wave modeling systems like SWAN. By integrating this data with ‘IoT’ and deep learning, wave conditions can be simulated and predicted with high accuracy; and (4) Turbidity Sensors: Turbidity sensors measure water clarity and are particularly useful in studies related to sediment transport and water quality. These can be integrated into models that simulate sediment movement in environments with high turbidity, such as estuaries and coastal regions.