Oceanic AI

A project powered by machine learning to predict ocean currents and weather patterns using satellite data

Get Involved

Project Overview

Oceanic AI is an innovative project that uses machine learning algorithms to predict ocean currents and weather patterns by analyzing satellite data. This tool provides valuable insights for various maritime applications, from navigation support to climate research.

Key Features

  • Real-time ocean current analysis
  • Accurate weather pattern predictions
  • Interactive data visualization
  • Historical data comparisons
  • Customizable alert systems

Technology Stack

  • Python for core machine learning algorithms
  • TensorFlow/PyTorch for model training
  • JavaScript for data visualization
  • PostgreSQL for data storage
  • React for interactive interface

Getting Involved

If you're interested in contributing to this project or want to explore how machine learning can solve real-world maritime challenges, here are your options:

  • Join our Slack workspace to connect with developers and researchers
  • Fork the repository on GitHub and submit pull requests
  • Participate in our bi-weekly project sprints
  • Help with data preprocessing and analysis
  • Develop new features or improve existing ones

Code Samples

# Example: Data processing in Python
 def clean_satellite_data(raw_data):
     # Remove incomplete records
     clean_data = [record for record in raw_data if record.is_complete()]
     
     # Standardize date