Weather Hazard Alert System

Overview

The Weather Hazard Alert System is designed to analyze historical weather data, compare it with current conditions, and predict potential weather hazards using advanced AI and Machine Learning algorithms. The system aims to provide early warnings to mitigate risks and enhance safety.

This system is a robust tool for weather monitoring and hazard prediction, leveraging historical data and advanced algorithms to ensure preparedness and safety.

Technology Stacks

  • Application Type – AI-Based Weather Forecasting Model
  • User Interface (UI) – None
  • Frontend Technology – Not Applicable
  • Backend Technology – Python, Flask API, TensorFlow
  • Database – Amazon DynamoDB
  • Third-Party APIs –
    • Meteoblue – for historical weather data
    • FieldClimate – for real-time sensor data from weather stations
    • Windy – for real-time weather forecasting data

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Book a no obligation session with one of our consultants. Someone will be in touch with you within one business day.