Adolescents today are often caught in a digital and social whirlwind, bombarded by stimuli from school, social media, and personal relationships.

While their mental health needs are increasingly recognized, current systems often overlook the significant environmental and situational contexts that influence their mood.

This creates a discrepancy between the need for accurate, real-time mood assessment and the static, often retrospective methods currently in use.

This gap leaves many young people without the timely and individualized support they need, exacerbating mental health issues that could otherwise be managed more effectively.

The primary challenge is the lack of integration of real-time, context-aware technology in mental health monitoring for adolescents.

There is a technological and data collection barrier in capturing and interpreting complex environmental cues and personal interactions that influence mental states.

Current solutions include periodic questionnaires and self-reporting apps, which fail to capture real-time data and the context of mood changes.

These methods lack the immediacy and adaptability needed in adolescent mental health care.