The backend code for stress detector app
The Stress Detector App is a mobile application designed to predict users' stress levels based on their data. This app allows users to share static data, including sleep hours, step counts, and social media usage. Additionally, users can actively participate in daily check-ins using text, audio, and video features. It also provides data visualization, giving users insights to manage their stress levels.
The primary goal of this application is to cater to the well-being of college students. By leveraging predictive algorithms and user-contributed data, the Stress Detector App aims to assist college students in managing stress and achieving successful graduation without experiencing mental breakdowns.
pip install -r requirements.txt
uvicorn main:app --reload