Un-Public Speaking

Inspiration

Minorities are not simply defined by one's ethnic or cultural background, but also can be bound by one's personality and social status.

What it does

This interview preparation consists of two major parts. First, through computer vision, the system will evaluate your presentability as a person, noticing your facial movements. The second part would be a speech to text function in which it will notice buzz words and words that indicate the lack of confidence "um, eh" and so forth.

How we built it

Python all the way, front end just being as a python app. Backend with multiple Python libraries and Google's speech to text API.

Challenges we ran into

Quite literally Everything

Accomplishments that we're proud of

Powering through "pink eye"

What we learned

pink eye has different types. Pink eye caused by allergic reactions is usually not infectious.

What's next for Un-Public Speaking

More facial gesture recognition.

Built With

• gcp
• python
• opencv
• pyaudio
• six
• vision-api
• speech-to-text
• nfl-next-gen-stats-data
• no-sleep
• blind-mofo
• lots-of-coughing
• a-crappy-graphic-designer
• not-enough-time
• built-in-3-hours