KrisnaSantosa15/realtime-bisindo-classification
The objective of this project is to classify the BISINDO (Bahasa Isyarat Indonesia) alphabet in real-time using hand landmarks detection and machine learning.
This project helps you understand Indonesian Sign Language (BISINDO) in real-time by analyzing hand gestures from a live camera feed. It takes video of someone signing the BISINDO alphabet and outputs the corresponding letter on the screen. This tool is useful for students learning BISINDO, educators, or anyone interested in real-time sign language interpretation.
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Use this if you need a visual tool to practice or demonstrate the Indonesian Sign Language (BISINDO) alphabet in a dynamic, real-time setting.
Not ideal if you require extremely high accuracy or fast performance for complex conversations beyond individual alphabet letters, especially due to current speed and dataset limitations.
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Jupyter Notebook
License
MIT
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Last pushed
Oct 25, 2024
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