> For the complete documentation index, see [llms.txt](https://ayushs-organization-2.gitbook.io/sign-language-detection/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ayushs-organization-2.gitbook.io/sign-language-detection/introduction.md).

# Introduction

Pattern recognition may have been viewed as a roadblock when it comes to human gestures. If a machine can interpret and interpret these human movement patterns, the essential information can be recovered. The identification of static sign motions used to signify letters of the alphabet will be significant among those who are deaf and cannot listen or can only hear a bit; Speaking language is the fundamental way of communication for the great bulk of the population. Without spoken language, a significant portion of the population won't be able to communicate. Even when spoken language is used, some people find it difficult to communicate with the majority of people. The primary purpose of sign language is to express meaning via movement or gestures.

The required message can be rebuilt by understanding human movement patterns. It has been successfully recognized in static sign language, which is used to understand alphabet letters and integers. This sign language recognition, on the other hand, is based on ASL (American Sign Language). A system for recognizing and classifying American sign language was built using the Convolutional Neural Network (CNN).


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# Agent Instructions
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