Oil Spill Prediction
"Our platform models the deep water horizon oil spill and predicts future anomalies by monitoring common patterns in your metrics. This calculative data will not only benifit oil vessel companies, but environmentalists and marine specialists as well.
It can be utilised as the reference data for improving policy making and agenda setting"
Features
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Automatic Detection
Using LSTM and clustering algorithms, detect anaomalies before they occur. -
Beautiful Charts and maps
Watch your metrics in real time with beautiful charts and maps. -
Smart Alerts
Whenever an anomaly is captured, customer recieve an alert with all the essential information.
Anomaly Detection
Clustering Algorithm can be used by insurance company who has previous data there is no need to train before hand. LSTM(Real time data monitoring)is very advanced ML algorithm in which Real
time vessel operator who has previous data can predict anomaly. there is need of HIGH amount of training.
Charts, Maps and data integation
Real time visualization of anomalies and existing dataset. Our model is trained with AIS data having information of all the vessels around the world within the time period of month-end.
Smart alert and other features
Whenever the square mean error is high, it detetcts anomaly and send an alert to the user via Email/SMS/App notification
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27K+
Data Points trained on model
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0.7K+
Unique Vessels used