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 5 months ago)

Stargazers 27 (3 this week)

Watchers 2 (0 this week)

Forks 6

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RepositoryStats indexes 582,119 repositories, of these AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model is ranked #568,929 (2nd percentile) for total stargazers, and #477,481 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,433/17,018.

AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model is also tagged with popular topics, for these it's ranked: python (#21,633/21943), deep-learning (#8,266/8363), machine-learning (#7,792/7902), computer-vision (#3,013/3069), tensorflow (#2,221/2235), artificial-intelligence (#2,014/2050), natural-language-processing (#1,381/1408), neural-network (#1,075/1090), opencv (#900/919)

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: 2024-11-12 @ 02:02am, id: 641766588 / R_kgDOJkCUvA