Ziang Wang¹ and Yu Cao², ¹USA, ²California State Polytechnic University, USA

This paper presents Ego-psy, a mobile application designed to improve accessibility and personalization in mental health support [1]. The app integrates several features, including mood logging with AI-generated feedback, medication tracking, psychology-related courses, and a searchable database of professionals. Using Firebase Authentication and Firestore, the app ensures secure data handling while maintaining scalability [2]. Three major systems' course creation, authentication, and AI feedback-are analyzed in detail. An experiment was conducted using a survey of five participants, which revealed strong usability and satisfaction scores, particularly for mood logging and design, while also identifying the improvement areas such as motivation and medical features. Comparisons with existing research demonstrated how Ego-psy builds upon proven strengths of conversational agents while addressing their shortcomings by offering more holistic and ethical support. Limitations and future improvements are also discussed. Overall, Ego-psy provides a unique, multi-faceted approach to digital mental health, emphasizing accessibility, engagement, and safety [3].

Mental Health, Personalization, Accessibility, Artificial Intelligence