asl-sign-detection-mediapipe-rf

Real-time ASL sign language detector using MediaPipe hand landmarks + XGBoost — 98.43% accuracy, skin-tone agnostic, no CNN

computer-science

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18 Stars

5 Forks

18 Watchers

Jupyter Notebook Language

100 SrcLog Score

Cost to Build

$50.7K

Market Value

$91.0K

How is this calculated?

Growth over time

3 data points · 2026-04-10 → 2026-04-25

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What is the Valentinetemi/asl-sign-detection-mediapipe-rf GitHub project? Description: "Real-time ASL sign language detector using MediaPipe hand landmarks + XGBoost — 98.43% accuracy, skin-tone agnostic, no CNN". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone asl-sign-detection-mediapipe-rf

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git clone https://github.com/Valentinetemi/asl-sign-detection-mediapipe-rf.git

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[email protected]:Valentinetemi/asl-sign-detection-mediapipe-rf.git

Download ZIP

Download master.zip

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