Realtime-Sign-Language-Detection-Using-LSTM-Model

Realtime-Sign-Language-Detection-Using-LSTM-Model

AvishakeAdhikary

Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.

83 Stars
24 Forks
83 Watchers
Jupyter Notebook Language
mit License
100 SrcLog Score
Cost to Build
$64.1K
Market Value
$176.3K

Growth over time

3 data points  ·  2026-04-11 → 2026-04-26
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What is the AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model GitHub project? Description: "Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.". 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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