Inspiration
Using a longitudinal dataset linking biometric and survey data from several cohorts of young adults before and during the COVID-19 pandemic researchers documented large disruptions to physical activity, sleep, time use, and mental health. At the onset of the pandemic, average steps decline from 10,000 to 4,600 steps per day, sleep increases by 25 to 30 min per night, time spent socializing declines by over half to less than 30 min, and screen time more than doubles to over 5 h per day. Over the course of the pandemic from March to July 2020, the proportion of participants at risk for clinical depression ranges from 46% to 61%, up to a 90% increase in depression rates compared to the same population just prior to the pandemic. Their analyses suggest that disruption to physical activity is a leading risk factor for depression during the pandemic. And hence comes our application , it focuses on the main problem of mental illness and tries to make healthy habits and helps to maintain good body and mind balance.
What it does
It has 4 main features such as:
- The exercise section helps you to get your daily dose of body movement.
- Meditation and yoga poses you can do to nourish your brain, It also comes with a tutorial and also a based pose checking mechanism which will check if ur pose is right or wrong.
- helps you to become an artist in choosing your food.
- happiness meter ml based on a system with a set of questions and answers which will detect the score of your happiness according to your answers.
How we built it
We're using java and kotlin as languages to build the android app. There's 2 image classification model built with CNN. The happiness meter was based on the authentic-hapiness.com survey then we create the prediction model with random-forest then we deploy it as an API.
Accomplishments that we're proud of
We made many features and we're proud we can finish it within the hacks time.
What's next for Selfcare
Implement the yoga pose to predict video
Built With
- android-studio
- cnn
- flask
- java
- kotlin
- python
- sckit-learn
- tensorflow

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