uzibytes/sign2text
Sign Language to Text Translation using Machine Learning and Open CV. Implemented using Landmark Module and Random Forest Algorithm. B.Tech final year project 2024.
This project helps bridge communication gaps by translating real-time sign language gestures into text or spoken language. You show hand signs to your webcam, and the application interprets them into written words or speech. This tool is for individuals who communicate with the deaf or hard-of-hearing, such as educators, support staff, or family members.
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Use this if you need a real-time tool to interpret American Sign Language (ASL) alphabets or custom hand signs from a live webcam feed into text or speech.
Not ideal if you need to translate complex conversations beyond individual letters or pre-defined words/sentences, or if you require support for a different sign language.
Stars
15
Forks
10
Language
HTML
License
MIT
Category
Last pushed
Sep 09, 2024
Commits (30d)
0
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