Inspiration
Our proposal aims to determine the risk of depression through analyzing text message to help psychologists with early detection of depression.
What it does
Analyses messages or tweets that are related to depression or show signs of depression to identify risks of depression among the users. Users with friends showing signs of depression can utilize our web app as well in order to justify if the people they are caring for are in a risk of getting depression and thus, able to take action early.
How we built it
Use of AWS services - comprehend, sagemaker
Challenges we ran into
Integrating front end with the models trained
Accomplishments that we're proud of
Successfully trained a custom entity recognizer and deployed it in entity recognition
What we learned
Learning how to use Amazon Comprehend to train the machine learning models. Learning how to use Amazon S3
What's next for Hashhs
Training more entity recognizers to detect signs of different mental illness
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