National Institute of Ocean Technology
Data-centered disaster management system & Cross platform application
.NET, MVC , REST API and Windows service
52+ Weeks and ongoing
Spanning over 7516.6km, India has the 18th longest coastline in the world. The country's coastal regions witnessed massive trade activities, including major import and export of crucial goods. Besides, a huge community of fishermen and indigenous locals live in the coastal regions of the nation.
Subjected to frequent natural disasters and being the most affected population group in the event of abnormal weather activities, the National Institute of Ocean Technology (NIOT) and W2S Solutions collaborated to build a data-centered Ocean Observation System.
Setting up the buoys with enough reinforcements is tough. There are many factors that affect the buoys' conditions.
Processing large volumes of data need a solid analyzing strategy. On top of this, the nature of ocean data is highly complex.
The efficiency of the data depends on the conditions of the buoys. The maintenance of these buoys is also relatively more complicated.
Arriving at a conclusion is highly contextual and needs Oceanology and climate experts to reduce the margin of error.
Our priority is to identify parameters that offers efficient data from the buoys.
The real time data from buoys are collected and transmitted to Cloud Server with GPS Satellites and then to data platform for further analysis.
Our intelligent data system leverages AI and ML to spot repetitive patterns and abnormal data to identify threats and register changes in the central system. This allows the experts to take action on such events instantly.
Oceanology and climate experts analyze the data to deduce information regarding the climate and ocean activities. This information is converted into simple terms and is displayed in a cross-platform application for instant response.
Mobile App Developers
Front End Developer
Customer Success Manager
The team at W2S understands the importance of assigning, managing the tasks and hassle-free communication.
A data-first approach allowed the experts to get a deeper understanding of the complex events in the climate and ocean behaviour.
Coastal populations were always under great threat of natural calamities. Our ocean observation system has now increased their odds of escaping such calamities through prior warnings and evacuations.
With a deeper understanding of data, scientists can now understand things that were previously a mystery to them. Also, they can monitor global climate change and recommend necessary measures to keep the whole thing in check.