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Mental health issues are prevalent among young adults aged 20-35, who face stresses related to studies, work, finances, and personal relationships. We present Moodify, an Android application to identify, analyze, and alleviate mental health problems at an early stage. The app has three key features: 1) An emotion detection module that divides the face into lines to extract and predict emotions, then recommends uplifting songs and podcasts based on the user’s current state. 2) An autonomous chatbot for users to privately discuss their feelings and receive suggested coping strategies without revealing their identity. 3) Anonymous group chat rooms where users can socialize and discuss common problems anonymously. Moodify aims to improve mental wellbeing by allowing users to monitor their emotional state through facial analysis, vent feelings safely to an AI, and connect with peers undergoing similar issues while maintaining privacy. Evaluations demonstrate the emotion detection module can identify facial expressions indicative of mood with 82% accuracy. The chatbot is effectively being designed for reducing negative sentiment through supportive conversations. Moodify represents a novel mobile approach to enhancing mental health through emotionally intelligent systems and secure social features tailored to young adults’ needs. The app empowers users to privately manage mental health issues by increasing self-awareness, providing personalized support, and facilitating anonymous peer discussions.
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