Ocean Safety Prediction using Machine Learning | Flood Prediction using Machine Learning

Detecting Natural Disasters with Keras and Deep Learning

This video is about project called Ocean Safety Prediction using Machine Learning, This project will predict the severity of any particular location in sea, so that machine learning model will predict that location is safe or not for boat and it will gave output with google map and provide location of particular place. User have to enter wave data, weather data and location data. from those inputs model will predict the output.

User have to enter inputs to model and machine learning model will predict the output:-

1. Wave Data: Wave Height, Zero Up crossing Wave Period, Peak Energy Wave Period, Peak Direction and Sea Surface Temperature.

2. Weather Data:- Precipitation, Max Temperature, Min Temperature, Wind Speed

3. Location Data:- Longitude, Latitude

Flood Forecasting Prediction based on Machine Learning Algorithm

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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