Neuropy

Problem

Mental health conditions affect 60 million people in the U.S., but 70% don’t track moods regularly due to manual input, lack of engagement, and friction in the process.

Approach

Conducted user and clinician interviews, developed personas, brainstormed mood tracking methods, and created prototypes using physiological data, conversational AI, and predictive analytics.

Solution

Neuropy uses AI to estimate mood via biometric and conversational data, enabling automatic mood tracking and insights through a mobile app and Home Hub.

Team Members

Yuan Zhang

Ashwin Nishad

Pei-Syuan (Lily) Chou

Xiran Lin

View the team's poster here (PDF)

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