Smiling Faces

Inspiration

We are presently living in a world of social boast but mental despair. In the past few years there has been a sharp rise in bad emotional health of people (especially youth) all over the globe. People aren't open or comfortable enough to consult a psychiatrist given their social reputation. Most of them are not even aware, of how the grave issue is.

What it does

A PWA working alongside a headgear, relaying real time information about the user's brain activity to detect depression and it’s extent. The application recognises the severity of the issue and suggests warnings to evade similar circumstances. If the “sadness quotient” goes below a certain threshold then the user is given a psychiatric recommendation, the following day, via notification. A mail would be sent to all the confidants to update the severity of the issue.

How I built it

We designed a progressive web application using Flask and modern web technologies to create an accessible and user friendly interface. The user interface was specifically designed to be simple, minimal yet appealing to the eye. The main components are highlighted specifically and insights are the main focus.

Challenges I ran into

Depreciated Libraries

Accomplishments that I'm proud of

We were able to complete most of the implementation

What I learned

We learnt a lot about Flask, pymongo, mongodb and DEAP dataset

What's next for Smiling Faces

We could have trained the classifier for a bit longer to get better results. We could merge fitbit data with our app for more comprehensive evaluation.

Built With

• flask