About this use case diagram for a weather app

The system starts by letting a new user create an account. This helps store their preferences and activities securely. After setting up the account, the system checks the login details. Then, it gives the user access to personalized features. After logging in, the user interface shows live weather updates. It pulls real-time data from trusted weather sources.

This includes temperature, humidity, visibility, and other key readings. The system also displays upcoming forecasts. It uses models to predict future conditions. Users can adjust location settings for better accuracy. Once a location is set, weather updates, alerts, and forecasts fit that area. If sudden changes occur, like storms or heatwaves, alerts are sent immediately. These alerts come from automated rules that check data all the time.

The system also organizes, adds, or updates weather data as needed. It looks at long-term weather patterns. It processes records to find trends or unusual conditions. When deeper insights are needed, the system creates structured reports. These reports summarize findings like seasonal changes, temperature shifts, or rainfall patterns.

The system keeps older records for historical study. Users can search, filter, or review them easily. Users can access this information to see how weather has changed over time. The system lets users share updates or observations, spreading info to more people. Every function works together seamlessly.

To gather weather details, process them, and deliver alerts. It also offers predictions, analyzes long-term data, and produces organized reports. This creates a reliable weather information platform.

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