Our team decided to do the the challenge proposed by Mirum and JWT. This challenge was to score the emotional tone of speakers and the possible language tones of text and speech. We liked how straightforward and clear the guidelines were. This allowed us to properly brainstorm and do something realistic over the weekend.
What it does
emotionji is a user-friendly web page that asks the user for text input or to upload a .wav file. It will then determine what emotion the user exhibited (neutral, joy, suprised, fear, sad or anger) and how certain it was of its prediction.
How we built it
Challenges we ran into
Accomplishments that we are proud of
We are proud with the fact that we have a great user-interface along with consistent and good integration of the APIs and tools used. Our project works and is cohesive, and at the end of 36 stressful hours, that in itself is an accomplishment!
What we learned
Many different tools we have never seen or used before. This weekend also proved how frustruating web development can be.
What's next for emotionji
We would love to keep working on this project in the future. We are close to integrating social tones and displaying user friendly information on various emotions depicted in large text inputs with multiple sentences, as well as being able to distinguish different speakers and their emotions through a .wav input.