Solution

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Core Strengths

Against the backdrop of increasingly prominent mental health issues among adolescents, traditional psychological services face four major challenges: difficulty in discovery, evaluation, intervention, and home school collaboration: students are unwilling to seek help proactively, schools lack professional strength, parents lack guidance, and information fragmentation leads to delayed intervention.


This plan focuses on a multimodal emotion recognition model, relying on a database of millions of adolescent behaviors and self-developed emotion calculation algorithms. Through AI+robot service carriers, a closed-loop system covering the entire chain of "assessment warning intervention companionship" is constructed to promote the transformation of mental health services from "passive response" to "active prevention" and from "experience judgment" to "data-driven", providing accurate, accessible, and sustainable mental health support for adolescents nationwide.

Adolescent AI Psychological Assessment Solution
Adolescent AI Psychological Assessment Solution

Solution Architecture

This plan 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 warning platform for adolescent mental health, achieving integrated management of assessment, filing, warning, intervention, and curriculum.


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


The "Three Centers":

Psychological Assessment Center: supports regular screening and dynamic tracking during the semester;

Psychological Warning Center: Implement graded warnings 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 plan, a collaborative mechanism of "campus family professional institutions" will be established to achieve accessibility, precision, and sustainability of mental health services.

Core Strengths

Sensorless convenience

Assessment is completed through natural interaction, without the need to actively fill out forms or confide, reducing student resistance.

High accuracy

By integrating multimodal data, the recognition accuracy has been improved to 91.6%, effectively overcoming self-assessment bias.

high adaptability

Adapt to different scenarios and student characteristics to achieve personalized dynamic portraits.

Unified Psychological Archive

Lifetime one file, full tracking, connecting assessment, warning, and intervention data.

Non invasive monitoring

Collect data without interfering with daily learning, protecting privacy and dignity.

Easy to deploy and integrate

The standard interface supports quick integration with existing campus systems, multi terminal collaboration, and efficient implementation.

Application Scenarios

Normalized psychological assessment

Automatically complete full coverage screening every semester, generate personal reports and class trends.

Regional regulatory warning

The Education Bureau monitors the regional psychological situation in real-time through large screens and accurately schedules resources.

Unmanned psychological counseling room

Students can have private conversations with the AI robot "Little White" at any time, and obtain self-service and expert appointments.

Classroom psychological education

Robot assisted development of AI psychology courses to enhance students' psychological literacy.

Teacher assistance tools

Teachers can obtain counseling advice and enhance their intervention abilities through the "Spiritual Mentor - Xiao An".

Family psychological companionship

Parents use AI homework companion learning machines to understand their children's emotions and achieve home school collaborative intervention.

Implementation Case

Education Bureau of Yanta District, Xi'an City

Shanghai Jiao Tong University Affiliated Experimental Primary School

Gansu Qingyang Beichen Vocational School

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