Inspiration
Everyone must endure the ups and downs in life, we all need support at some point. Its not always easy to approach someone. The response time of mental health support NPOs may be days. In some cases too late to help someone who is distressed.
What it does
The Serenity website allows the user to anonymously vent their frustrations to a python script that understands sentiment ad thus the mood of the user and suggests activities to improve their mood based on their personality type(inferred from their entry) and sentiment score.
How I built it
I built the machine learning models in python, hosted my csv files within an AWS S3 bucket, used a bootstrap template for the website and used php to execute the python script and output the results on the website
Challenges I ran into
The time needed to execute a python script is long. The webhosting service did not allow me to execute a python script within my website.
Accomplishments that I'm proud of
I rose to the challenge, on my own and created a workable machine learning model.
What I learned
I explored some of AWS and learned to use putty
What's next for Serenity
Gather a team to improve the model as well as find an appropriate platform to deploy the website on. Perhaps add on a tracking system for tracking and prediction of bipolar mania and depressive episodes.
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