Isabella Lai 1 and Jonathan Thamrun 2, 1 USA, 2 University of California, USA

Journaling is a proven method to improve mental well-being, but many people struggle to make it a consistent habit [1]. To address this, the Sonora application was developed to integrate journaling with personalized music playlists to enhance mental well-being. The app uses AI to analyze journal entries, detect mood, and generate a playlist that either matches or uplifts the user’s emotional state. The app uses Flutter for the interface, Firebase for backend authentication, and OpenAI to power the mood analysis system [2]. Three core systems– journal entry processing, playlist generation, and user interface– work together seamlessly. A major challenge was interpreting complex human emotions accurately solely through words. In an experiment of 20 test journal entries, the system achieved 90% accuracy in mood detection. By combining music therapy with journaling, Sonora offers a unique, evidence-based way for users to reflect and improve mood [3].

Mental Wellbeing, Mood Detection, Music Therapy, AI Applications