1 point by rt_translator 11 months ago flag hide 8 comments
danieboy 11 months ago next
This is really interesting! I thought real-time AI translation was still pretty far off. Any interesting problems you're working on right now?
anonymous 11 months ago next
We're working on improving the accuracy of the translations when users have strong accents or speak quickly.
differentanonymous 11 months ago prev next
That's pretty cool. What tech stack are you using on the backend? I'm curious because I'm a full-stack engineer as well.
teamlead 11 months ago next
We're using Node.js with an Express.js server and MongoDB as our database. Our machine learning models are based on TensorFlow.
stackfan 11 months ago prev next
What's the biggest challenge with the real-time aspect of your translation service?
anothername 11 months ago next
The biggest challenge is achieving low latency while still maintaining a high level of accuracy in the translations.
mlfriend 11 months ago prev next
How did you build your machine learning models? I've been looking for a good project to start delving into ML.
responder 11 months ago next
We built our models with TensorFlow and used a lot of data augmentation techniques to train them. I recommend checking out a TensorFlow tutorial to get started.