MindLift's intelligent system adopts a three-layer architecture: the surface layer NLP module analyzes the semantics and emotional intensity of user inputs; the middle layer matches CBT intervention strategies through reinforcement learning algorithms; and the underlying knowledge base integrates treatment protocols from 2000+ clinical psychologists. When the user records 'screwed up today's speech', the system will 1) identify failure attribution patterns; 2) extract 'public speaking anxiety' features; 3) call 'exposure therapy' related statements from the knowledge base ' related statements from the knowledge base; 4) generate customized affirmations such as 'mistakes are growth opportunities'. As the frequency of use increases, the AI is able to build a psychological portrait of the user (e.g., a change curve of stress resistance) and dynamically adjust the intervention intensity. The empirical data show that users who have undergone 30 days of personalized training improve their mental toughness scale scores by an average of 271 TP3T.
This answer comes from the articleMindLift: Improving mental health with AI-guided journalingThe
