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Mahendra2409/Sign_Language_Detection_LSTM

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Developed a real-time system using OpenCV and Mediapipe to capture face, hand, and pose landmarks from the user's camera. A sequence of 30 frames is processed using an LSTM model to predict text, which is converted to speech using the Google Text-to-Speech API.

active 2024-12-14 → 2025-03-17 (UTC)

Complete coverage28,231 / 28,231 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-03 (UTC)
Events
5
Pushes
2
Pull requests
0
Issues
0
Stars
1
Forks
1

Activity over time

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Line chart, 94 days from 2024-12-14 to 2025-03-17. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

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Top contributors

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

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Mahendra24092200

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.