JT World

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  Homepage of the website

Inspiration

The mixture of culture on the William and Mary Campus.

What it does

It takes input form the user, both text and audio, and then turns the input into a trascript. Afterwards it translates the transcript into the desired language, then it outputs it as a audio.

How we built it

We built it using a mixture of chatgpt building the bulk of the program and then us reviewing and tinkering afterwards. We then used the Elevenlabs API for text to speech.

Challenges we ran into

We ran into the challege of creating the website and deploying it on the web.

Accomplishments that we're proud of

Creating a working translator and text to speech program. We are also proud of being able to create a project that works and is deployed on the web.

What we learned

We learned how to better secure our code and API keys, and how to use git, github, ElevenAPI, and we learned how to better use VScode

Tracks

Linguistics, Education, AI and Imagination

What's next for JT World

We want expand the amount of languages possible and expand its mood detection.

Built With

• chatgpt
• elevenlabs
• python
• vercel
• vscode