The problem
Information is rarely available in the speaker's own dialect, and connectivity is poor.
What to build
Create a compact speech-to-text and translation pipeline that runs on a mid-range phone.
Success looks like
Acceptable accuracy on test dialects with latency under three seconds and no network required.
Suggested technologies
- Quantised models
- Speech recognition
- Machine translation
- Edge deployment
- Dialect testing
An original, independent statement. It is not an official Smart India Hackathon problem statement, and Arventiq Labs is not affiliated with or endorsed by that programme. The scenario is illustrative and does not describe any specific organisation. Free to use with credit.