This is a submission for the Gemma 4 Challenge: Build with Gemma 4
What I Built
I built QuietPulse, a privacy-first, on-device AI journaling application designed to bridge the gap between daily mental health tracking and clinical psychiatry.
Patients suffering from anxiety or depression often experience severe memory bias (e.g., recency bias, exaggerating bad days, or forgetting details) when answering standard clinical questionnaires like the GAD-7 or PHQ-9 at the doctor's office.
QuietPulse solves this by acting as a daily voice journal and a "Questionnaire Assistant." Users can tap a button and dictate their daily thoughts into the app for as long as they want. The app processes these journals locally to extract underlying emotional states and clinical markers. When it's time for their doctor's appointment, the app can aggregate the last days of data into an objective timeline. If the questionnaire asks, "How many days have you felt on edge?", QuietPulse provides the exact number of days the criteria was flagged in their journals, complete with specific AI summaries as evidence, ensuring the psychiatrist gets perfectly accurate data.
