AI music therapy for academic stress psychological counseling scenarios

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AI music therapy for academic stress psychological counseling scenarios

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Junjun Liu
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The Mission

To empower individuals with innovative, AI-driven tools for personalized stress relief, fostering healthier, happier lives.

Problem

The challenge we are addressing is the significant work-related stress faced by citizens in the Dutch-speaking world. This stress contributes to absenteeism, reduced productivity, and declining mental well-being. Traditional mental health treatments often focus on severe psychological conditions and neglect common workplace stress. There is a need for an accessible, scientifically grounded solution that provides personalized stress-relief strategies while fostering public engagement with mental health experts. Our project seeks to bridge this gap using AI-based personalized healing solutions and community-driven support systems to improve mental health and workplace efficiency.

The Solution

Our proposed solution is Flow, a web-based intelligent application designed to relieve work-related stress through personalized healing solutions and a supportive online community. Utilizing AI algorithms, Flow provides tailored music therapy, mindfulness training, and stress-relief strategies based on user input. It fosters meaningful interactions between users and mental health experts via one-on-one and community dialogues. The application also gathers anonymized user data to improve therapeutic methods and support ongoing research, creating a scalable, evidence-based approach to stress management while promoting collaboration between the public and scientific community.

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