Inspiration
To help people deal with their mood swings in an interactive manner with the app being their daily friend like a companion
What it does
It detects the person's mood by talking to it and recommend things to uplift the mood.
How we built it
We implemented speech recognition and semantic analysis using NLP and then predicting user's mood with the emojis using Neural network. Giving healthcare recommendations with a feedback system for the user.
Challenges we ran into
Integrating python with nodeJS.
Accomplishments that we're proud of
We have a running web application.
What we learned
How to work in a team with knowledge of different technology stacks.
What's next for Mood Buddy
Detecting more specific features especially depression through pulse rate using a wearable and voice pitch from the user voice. If a person is in more need of a mental treatment he/she can directly interact with the psychologists and get the proper medications online itself.
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