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An agentic system for mental health monitoring that combines text analysis with keystroke dynamics (typing patterns) using on-device Small Language Models (SLMs) to detect anxiety and depression biomarkers.
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The project combines two distinct fields: keystroke dynamics (biometric monitoring) and agentic LLMs for mental health. While the concept is sound and targets a niche area (privacy-focused affective computing), the repository has zero community engagement (0 stars/forks) and serves as a personal prototype rather than a production-ready tool. Frontier labs are unlikely to build specific diagnostic tools for depression due to regulatory risk, but the underlying capability (on-device affective sensing) is a target for Apple and Google at the OS level.
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