DeepWater Treasure Recovery

Gliders will gather vast volumes of information. To analyze and interpret these data, DeepWater Syst.© will use AI within Deep Learning Framework “TensorFlow”. Our neural network will assess the potential of each set of coordinates and present it in the form of “Deep Score”.

Currently, our AI system recognizes 70-80% of underwater objects and 50-60% of mineral resources. To increase these rates, the neural network needs to learn from more datasets.

We are launching DeepWater, a new project, which employs artificial intelligence for underwater pattern recognition. We plan to gather information about shipwrecks and underwater mineral resources in the Caribbean Sea and along the historical trade routes in the Atlantic and the Pacific Oceans.

Team

  • Name
  • Position
  • Links
  • Alej­andro Gavri­lyuk
  • CEO, Founder
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  • Eduardo Perez
  • System Engineer
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  • Manuel Merino
  • Software Engineer
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  • Julio Cruz
  • Software Engineer
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  • Alfredo Casero
  • System Engineer
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  • Fernando Moreira
  • Software Engineer
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  • Pedro Vela
  • Software Engineer
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  • Carlos Alvarado
  • Systems Engineer
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  • Jose Saltos
  • Marine Surveyor
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  • Rodrigo Intriago
  • Systems Engineer
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Trade Token on Bitcratic
Status

Ended

Platform Ethereum
CountryEcuador
Category Business services , Manufacturing

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