Inspiration
The urgent need for accessible mental health support which was especially highlighted during the recent global pandemic.
What it does
Tracks physiological indicators, mood, and symptoms related to mental health which it then analyzes to identify issues and provides real-time feedback
How we built it
The backend was built using Node.js and MongoDB, while the frontend utilized React and React Native.
Challenges we ran into
Balancing timely alerts while also avoiding false alarms and designing an engaging user experience.
Accomplishments that we're proud of
This platform effectively puts various data sources into consideration to provide personalized insights and support.
What we learned
Learned the importance of user-centered design in mental health apps.
What's next for Mental Health Monitoring and Support System
Planning to perform large-scale clinical trials to see the app's effectiveness in improving mental health states.
Built With
- amazon-web-services
- express.js
- i-employed-mongodb
- mongodb
- node.js
- react
- react-native
- tensorflow
- tensorflow-for-machine-learning
- with-node.js-and-express-for-the-backend.-for-data-processing
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