The objective of this project is to develop a cloud-hosted weather analytics platform that processes historical and real-time data to forecast weather conditions. Cloud scalability enables efficient processing of large meteorological datasets.
Study weather data sources and forecasting techniques.
Design cloud architecture for real-time data ingestion.
Store weather data using distributed cloud storage.
Apply data analytics for trend analysis and forecasting.
Visualize weather patterns through interactive dashboards.
Implement APIs for external data access.
Ensure system reliability and scalability.
Test forecasting accuracy.
Optimize performance.
Prepare comprehensive documentation.
