Athena Bi1 and Carlos Gonzalez2, 1USA, 2California State Polytechnic University, USA
Art therapy is a proven method for fostering self-expression and supporting mental health, yet traditional approaches often require resource-intensive, manual analysis by therapists, limiting accessibility [1]. Our project addresses this gap by creating an AI-powered art therapy web application that enables users to upload artwork and receive personalized, therapeutic insights. By combining Firebase for user management, Python Flask for backend processing, and OpenAI for generating art interpretations, our platform bridges the expressive power of art with the analytical capabilities of AI [2]. Key challenges included integrating diverse technologies seamlessly and designing prompts that guide AI to interpret abstract and symbolic art effectively. These challenges were addressed through standardized API protocols and iterative prompt refinement. Experiments tested the AI's accuracy and consistency, showing strong alignment with expert interpretations for symbolic art and reliable outputs across multiple analyses. Our application democratizes access to art therapy, offering scalable, non-verbal pathways to self-discovery and mental wellness for a broader audience.
Comprehensive, Web App, Generative AI, Art Therapy Applications
