AppRecs review analysis
AppRecs rating 1.0. Trustworthiness 45 out of 100. Review manipulation risk 20 out of 100. Based on a review sample analyzed.
★☆☆☆☆
1.0
AppRecs Rating
Ratings breakdown
5 star
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4 star
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3 star
0%
2 star
0%
1 star
100%
What to know
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Mixed user feedback
Average 1.0★ rating suggests room for improvement
About ASL Recognizer
SMART RECOGNITION
ASL Recognizer uses machine learning based model that is trained for high accuracy detection in any environment.
UNIVERSAL
Identify world’s most recognizable sign language basic hand gestures.
MAKE WORDS
By recognizing each hand pose, you can combine whole words to understand what is being said in sign language.
LEARN SIGN LANGUAGE BASICS
Find all basic alphabet American Sign Language hand gestures in one place for easier identification and learning.
FOR DEVELOPERS
The project uses Combine, AVFoundation and Apple Vision frameworks, is wrapped around Clean Swift VIP architecture and is fully open source documented on GitHub.
More information: https://github.com/liudasbar/ASL-Recognizer
ASL Recognizer uses machine learning based model that is trained for high accuracy detection in any environment.
UNIVERSAL
Identify world’s most recognizable sign language basic hand gestures.
MAKE WORDS
By recognizing each hand pose, you can combine whole words to understand what is being said in sign language.
LEARN SIGN LANGUAGE BASICS
Find all basic alphabet American Sign Language hand gestures in one place for easier identification and learning.
FOR DEVELOPERS
The project uses Combine, AVFoundation and Apple Vision frameworks, is wrapped around Clean Swift VIP architecture and is fully open source documented on GitHub.
More information: https://github.com/liudasbar/ASL-Recognizer
