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Description
Develop a system to passively collect data from wearable devices (with user consent) to monitor physiological indicators of mental health, such as heart rate variability (HRV), sleep patterns, and physical activity. Machine learning models would correlate this data with self-reported moods and identify potential triggers for stress or anxiety, providing a proactive warning system.
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