Voice-Driven Mental Wellness Tracker
7.2
A mobile application leveraging Wav2Vec 2.0 to analyze voice memos for signs of depression, focusing on acoustic patterns rather than transcribed text to prioritize user privacy. It provides personalized insights and prompts for support, integrated with FastAPI for rapid development.
220h
mvp estimate
7.2
viability grade
2
views
technology stack
Python
Android
Medium
inspired by
Tracking Depression Risk Trends Using Wav2Vec 2.0 and FastAPI