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Assessment
Inspiration
Our teammate Kevin Chu once was simping for this girl called N. Unfortunately, N did not share the same heartfelt energy and Kevin, due to his rather immaturity, did not notice the dryness of her texts. Fast forward to May 2021, Kevin Chu got hard rejected on facebook, which caused him to cry. Don’t end up like Kevin Chu!!!
What it does
The purpose of this app is to help you detect dry and or dying conversations to prevent yourself from having your heart broken down the line.
How we built it
We used a natural language processing sentiment analysis model integrated with our mobile app, along with Google’s MLKit for text recognition, in order to detect the dryness of a conversation. We also used Sketch in order to design a mockup of our mobile App as well as Android Studio to produce it.
Challenges we ran into
Using the NLP model was a hassle, as well as Android Studio
Accomplishments that we're proud of
Getting the NLP model to work, designing the GUI
What we learned
NLP, MLKit, and Android Studio
What's next for Ghosted
Prettier and more interactive GUI
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