Inspiration
- Assist members of the community who might have difficulty communicating in the local language.
What it does
- Allows users to speak in their native language and translates to the target language and outputs audio in that language.
How we built it
- Utilized PubNub blocks to connect the JavaScript client to IBM Watson for real time translation. A Node JS server was implemented for authentication. IBM Watson API was used for speech to text and text to speech in addition to translation.
Challenges we ran into
-Connecting the three separate components(speech-to-text, translation, text-to-speech).
Accomplishments that we're proud of
- Connecting the three separate components(speech-to-text, translation, text-to-speech) using PubNub blocks and the Watson API.
What we learned
- How to use the various APIs. Also learned how to code in JavaScript and Node JS.
What's next for Blah Blah... Ahh!
- Image recognition for specific objects and converting the extracted text to speech. Real time translation of phone calls from one end to the other.
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