Salieve
| Name: Venkat Munukutla
NYU affiliation: Arts and Sciences NYU status: Undergraduate |
Did you enter last year?: No
Do you have any teammates?: Yes How many, including yourself?: 5 |
Concept Name
Salieve
High Concept Statement
This app works with an IOT shirt or bracelet to detect the user’s level of depression and anxiety by monitoring belly breathing and diaphragm movement.
Status Quo
Breathing pattern is a key indicator of emotional state. The next time you feel anxious, notice how you breathe in rapidly and how hard it is for you to fully breathe out. Everyone suffers from some form of anxiety and this can be monitored effectively through breathing pattern metrology. Monitoring their breathing patterns and alerting them when they engage in suboptimal patterns can give them a tremendous weapon against depression.
Competition
There are currently other apps which send motivational messages, help users through meditation, and use other mental/psychological motivators. We would be the first app to introduce an IOT element.
Solution
The continuous monitoring will provide a tremendous step up against other apps, which typically require user motivation (which, ironically enough, is a challenge when depressed). We help when the user needs help, and provide simple solutions that can make a difference.
Revenue Model
We would sell a monthly subscription to the app, as well as a cost friendly IOT element that would enable the tracking.
Which platform would you like to launch your app on?
iPhone
Which category best describes your app?
Medical