Systems and methods of alert generation

This invention describes a system that monitors a user's progress through a learning or training program. When the user reaches a specific point, the system calculates a risk probability related to their performance. If this risk exceeds a set level, an alert is automatically sent to a supervisor.

Why it matters: Filed before advanced AI models were widely accessible for dynamic risk assessment. Modern machine learning can now power more sophisticated and accurate risk calculations for user progress through content programs.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, databases, communication protocols

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