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

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

Date Created 2023-05-17 (about a year ago)

Commits 16 (last one 6 months ago)

Stargazers 33 (0 this week)

Watchers 2 (0 this week)

Forks 7

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RepositoryStats indexes 594,458 repositories, of these AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model is ranked #554,716 (7th percentile) for total stargazers, and #484,468 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,784/17,480.

AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model is also tagged with popular topics, for these it's ranked: python (#21,284/22283), deep-learning (#8,145/8503), machine-learning (#7,693/8043), computer-vision (#2,961/3127), tensorflow (#2,206/2254), artificial-intelligence (#1,967/2107), natural-language-processing (#1,361/1425), neural-network (#1,068/1104), opencv (#881/938)

All Topics

lstm opencv python tensorflow dataanalysis deep-learning modeltraining neural-network computer-vision modelevaluation machine-learning datavisualization realtime-detection gesture-recognition artificial-intelligence sign-language-recognition natural-language-processing

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16 commits on the default branch (main) since jan '22

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

updated: 2024-12-17 @ 06:53am, id: 641766588 / R_kgDOJkCUvA