NATE - Intelligent Companion
Submission for CruzHacks 2023.
Inspiration
As CS students who also love hardware, we wanted to find a way to combine the two.
What it does
NATE verbally answers a question that typed in the terminal.
How we built it
We used OpenAI's Text Completion and Google's Text-To-Speech API.
Challenges we ran into
It took us over 3 hours to get the Google Text-to-Speech API to work, mainly because of how confusing the Google Cloud site is to navigate.
Accomplishments that we're proud of
- Monica: I'm proud of being able to navigate documentation to get text-to-speech to work, since it was my first time working with software like this.
- Robin: I learned how to use the Google Cloud console.
- Frank: This.
What we learned
A lot about Google Cloud and OpenAI.
What's next for NATE
We can eventually incorporate more features and a cleaner UI.
Built With
- google-cloud
- openai
- pyside6
- python
- text-to-speech
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