Smart Education Solution

Against the backdrop of increasingly prominent mental health issues among adolescents, traditional psychological services are confronted with four major challenges: difficulties in early detection, professional assessment, targeted intervention and home-school collaboration. Students are reluctant to take the initiative to seek psychological help, schools are short of professional psychological counselors, parents lack systematic guidance, and information fragmentation results in delayed intervention.

Centered on a multimodal emotion recognition large model, this solution draws on a million-level adolescent behavior database and self-developed emotion computing algorithms. Adopting AI and intelligent robot service carriers, it builds a full-cycle closed-loop system of assessment – early warning – intervention – companionship. It helps transform mental health services from passive response to proactive prevention, and from experience-based judgment to data-driven decision-making, delivering precise, accessible and sustainable mental health support for adolescents across the country.

This solution focuses on the four major pain points of "strong concealment, large subjective deviation, uneven resources, and insufficient collaboration" in adolescent mental health services, and proposes an overall architecture of "One Platform, One Engine, and Three Centers".

"One Platform": Build a monitoring and early warning platform for adolescent mental health, realizing integrated management of assessment, filing, early warning, intervention, and curriculum.

"One Engine": Based on China’s first multimodal emotion recognition model (with training data exceeding 10 million adolescent behavior samples), it integrates microexpressions, microactions, speech intonation, text semantics, and behavior trajectories to achieve objective, real-time, and accurate analysis of emotional states.

"Three Centers":

- Psychological Assessment Center: Supports Regular Psychological Assessment (regular screening during the semester) and dynamic tracking;

- Psychological Warning Center: Implements graded early warning for 15 major types of risks, including depression, anxiety, and suicidal tendencies;

- Psychological Intervention Center: Provides diverse intervention methods such as AI companionship, expert consultation, family guidance, and course training.

Through this solution, a collaborative mechanism of "campus – family – professional institutions" will be established to achieve the accessibility, precision, and sustainability of mental health services.