Yilan Zhao¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

As adolescent suicide rates grew significantly in the past decade, depression, anxiety, and other mental disorders were largely held responsible for the growth [9]. However, these medical conditions are often overlooked during their early stages where symptoms are still remediable. Delayed or inattentive response to address the issue usually results in higher suicides rates or in lesser cases, mental ailments carried into adulthood. In an attempt to remedy the mental health crisis, countless mental health interventions are being introduced as means to mitigate the circumstances. In this project, we developed a mobile application that serves as a comprehensive therapy—journal and group therapy—for those struggling with mild to moderate depressive symptoms [10]. The application utilizes both the Sentimental AI and natural language processing in its backend server to generate accurate matches of users who share similar struggles, allowing users to connect and resonate with each other emotionally [11]. The application also provides a private and safe space for users to openly express their thoughts, alleviating their stress through daily journal entries.

Machine learning, Flutter, Adolescent Mental Health, Depression.