Skip to content

shinu37/Sign-Language-Detection-using-Pose-Sequential-RNN

View on GitHub ↗Related repositories →

This project focuses on classifying the users actions into one of the three which consists of 'please', 'hello' and 'thank you' which can help people understand other people with speech or hearing disabilities. The project uses Pose Estimation with the help of Mediapipe Holistics and an RNN model which helps to get an accuracy around 99% accuracy.

active 2024-06-152024-06-16 (UTC)

Complete coverage26,707 / 26,707 hourly files (100%) · 2 absent upstream2023-08-152026-08-31 (UTC)
Events
16
Pushes
7
Pull requests
2
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2024-06-15 to 2024-06-16. Pushes: 7 total, peak 6 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 3 total, peak 2 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
shinu3710711
CJ4453012

Recent activity

Latest issues, pull requests and releases

  • Pull request#1shinu372024-06-16 16:51
  • Issue comment#1CJ4452024-06-16 10:22
    Error fixed - 'q' not closing the window in section 5.
  • Pull request#1CJ4452024-06-15 16:47

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.