attendance-management VS American-Sign-Language-Recognition

Compare attendance-management vs American-Sign-Language-Recognition and see what are their differences.

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attendance-management American-Sign-Language-Recognition
1 1
1 9
- -
4.1 3.5
over 2 years ago 7 months ago
Python Python
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

attendance-management

Posts with mentions or reviews of attendance-management. We have used some of these posts to build our list of alternatives and similar projects.

American-Sign-Language-Recognition

Posts with mentions or reviews of American-Sign-Language-Recognition. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing attendance-management and American-Sign-Language-Recognition you can also consider the following projects:

flytesnacks - Flyte Documentation 📖

Hand-Gesture-Recognition

RAASNet - Open-Source Ransomware As A Service for Linux, MacOS and Windows [GET https://api.github.com/repos/leonv024/RAASNet: 403 - Repository access blocked]

CheekyKeys - Use Python, OpenCV, and MediaPipe to control a keyboard with facial gestures

coffee-counter-appwrite-demo - A demonstration of using an Appwrite backend for a Coffee Counting app.

PyVideoFramesExtractor - Extract frames from videos in Python using OpenCV.

dropshipping-tool-demo - This demo compares products from Walmart and eBay to find a profit. Sponsored by SerpApi.

airdraw - A vision-based drawing application

Doctor-Strange-Filter - Python project using OpenCV and Mediapipe to create a Dr. Strange filter. It detects hand gestures, calculates palm midpoint and openness, then overlays a mask if the hand is open. A concise demonstration of computer vision concepts like perspective and image rotation.