This architecture is designed to evaluate the accuracy of three major weather forecasting services.

Each week, forecasts are retrieved and compared with actual temperatures from the local weather station, using Mean Absolute Error (MAE) metrics.

Data is sourced through techniques like web scraping and open APIs.

The microservices, developed in Python, operate on the Azure cloud platform.