Z-warriors'DepressoMeter

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Inspiration

According to WHO (World Health Organization), depression is a main cause of concern worldwide. User personas on social media can supply us with a wealth of information on the user's mental state. This has opened up the possibility of studying social networks in order to gain a better understanding of its users' mental states.

What it does

DepressoMeter takes a test according to PHQ9 (Patient Health Questionnaire 9) and various Machine Learning models to detect the level of depression and as well as we have some customize blog relevant to the message you wrote and as well as counseling from the NGO's counselor for the relevant cases.

How we built it

DepressoMeter is made with <3 by Z-warriors Techstack we used:

Flask Framework
Machine Learning models
Linuxone ##Challenges we ran into We ran into many challenges for the L1CC as we were very new to the linuxone cloud or else you can say IBM architecture.

Accomplishments that we're proud of

We as a team are really proud that we can come up with a solution for all over the globe which can used by millions of people and get a free counselor to talk with because many a times we have a lot to say but we don't have anyone to talk with and share our thoughts who can thoroughly listen to it and give some good outputs on it.

What we learned

We learned how to work on cloud as we all are from different parts of India this was something very difficult because we all have a mind set that the communication is the key to everything.We learned new technology as well.

What's next for DepressoMeter

We really wish to take it forward and give it to NGO's and social workers who are working on it for a better future and get a soothing relief for the patient without any hesitation of privacy etc