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 Stack
- 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
Project Snapshots
