About This Architecture

Screen Time Analyzer Module integrates psutil process monitoring, window focus detection, and system time to build a comprehensive application usage tracking pipeline. Data flows from input sources through an Application Usage Tracker and Time Aggregator, generating daily and weekly summaries while a Behavior Pattern Analyzer identifies usage trends. Aggregated metrics and behavior insights persist to SQLite, powering usage reports, UI charts, and external personalization engines. This modular architecture separates concerns across input collection, time-series aggregation, pattern analysis, and multi-channel output. Fork this diagram to customize data retention policies, add real-time alerting, or integrate additional behavioral signals into your analytics platform.

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How do you design a screen time analyzer that tracks application usage, aggregates time data, and feeds behavior insights to personalization engines?

This diagram shows a layered architecture where psutil monitors running processes and window focus, feeding an Application Usage Tracker that normalizes data. A Time Aggregator produces daily and weekly summaries, while a Behavior Pattern Analyzer identifies usage trends. All metrics persist to SQLite, enabling usage reports, UI charts, and external personalization integration.