https://github.com/harrisonfulford/polyglot-hackthe6ix_24
Streams feed to program and uses basic image recognition to identify any objects you see for the first time throughout the recording. Takes first time objects and shows you what they mean in a language of your choice. Works live and with storage, which sets it apart from traditional translators, as you can learn things both on the fly or at home.
https://github.com/harrisonfulford/polyglot-hackthe6ix_24
image-recognition machine-learning opencv smart-glasses tensorflow unity
Last synced: about 2 months ago
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Streams feed to program and uses basic image recognition to identify any objects you see for the first time throughout the recording. Takes first time objects and shows you what they mean in a language of your choice. Works live and with storage, which sets it apart from traditional translators, as you can learn things both on the fly or at home.
- Host: GitHub
- URL: https://github.com/harrisonfulford/polyglot-hackthe6ix_24
- Owner: HarrisonFulford
- Created: 2024-08-03T03:04:00.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-06T21:55:14.000Z (almost 2 years ago)
- Last Synced: 2026-01-18T11:27:03.507Z (5 months ago)
- Topics: image-recognition, machine-learning, opencv, smart-glasses, tensorflow, unity
- Language: Python
- Homepage: https://devpost.com/software/polyglot-ol3e49
- Size: 239 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Hackthe6ix_24_Polyglot
The goal of polyglot is to effectively remove user input in the language learning process, to integrate said process into ones daily life as much as possible. With the front end being built in UNITY (I know, our front end guy is crazy), the project is diplayed as a mobile app. Our main feature utilizes smart glasses capable of transmitting a live feed to a local device, such that the user can point at any object they want to hear in a language of their choice, and then hear it. Feel free to check the projectmap.png for a visual display of our tech stack and flow.