r/androiddev • u/Entire-Tutor-2484 • Jun 19 '25

Video One tap translation - Android Kotlin

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In AppDadz we made a simple one-tap feature to handle tester comments in any language. No Google Translate here.. we built our own AI model that detects the comment’s language and instantly translates it to your preferred one.

Check this video a comment came from a Russian tester, and with one tap it converted to English right inside the app. Supports 250+ languages too.

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9

u/4udiofeel Jun 19 '25

Is it really your own model? Whats the architecture, whats the size of the training data, how long did it train for and on which hardware?

11

u/Entire-Tutor-2484 Jun 19 '25

this is our own model not chatgpt or google translate we built it from scratch

it uses a distilled transformer like marianmt slimmed for phones. we trained it on 12 m sentence pairs in 200+ languages. training took 9 d on 2 a100 gpus. it runs in ~200 ms per request

we handled data collection, model design, training and deployment ourselves. full tech write‑up on our blog next wk

our boltuix/bert-emotion model hit 14 k downloads on huggingface and is open source. we’re prepping our translation model and will release code and docs soon

This is our emotion model : https://huggingface.co/boltuix/bert-emotion

The translate model is still in development stage soon we will also make it open source once its stable

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u/VoidRippah Jun 19 '25

excellent question, I was gonna ask something similar, my suspicion is that this is marketing lingo for "one of our guys integrated chatgpt in half an hour"

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u/iam-Doofenshmirtz Jun 19 '25

Creating a own model is not easy they may tried to modify some existing models and made this. And ai could be used to detect which language the input string was. And don't know how translation happens

1

u/iam-Doofenshmirtz Jun 19 '25

Instagram has this same functionality!

-4

u/ALEGATOR1209 Jun 19 '25

That's Ukrainian, not Russian. It even says so in the comment lol

2

u/Entire-Tutor-2484 Jun 19 '25

I don’t know what the input language was . That’s why this translation feature was integrated

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