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Sign App 1.0

125.1 MB / 0+ Downloads / Rating 5.0 - 1 reviews


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Sign App, developed and published by Aditya Sunil Marathe, has released its latest version, 1.0, on 2023-12-26. This app falls under the Education category on the Google Play Store and has achieved over 10 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

Sign App APK available on this page is compatible with all Android devices that meet the required specifications (Android 5.0+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: com.payal.imagepro

Updated: 1 year ago

Developer Name: Aditya Sunil Marathe

Category: Education

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Sign App on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

Sign App 1.0
2023-12-26 / 125.1 MB / Android 5.0+

About this app

An opportunity to bridge the communication gap between the deaf community and common people
Sign language is the most popular and effective way of communication among hard hearing and normal
people. Normal people find little difficulty in understanding and interpreting the meaning of sign language
expressed by the hearing impaired, it is inevitable to have an interpreter for the translation of sign language.
Understanding sign language is the primary enabler in helping hard of hearing people with the rest of
society. since most people do not know sign language and interpreters are very difficult to come by we have
come up with a real-time method using neural networks for fingerspelling based on American sign language.
Our App is an effort toward studying the challenges in the classification of characters in Sign Language. So,
The app aims at building a machine learning model that will be able to classify the various hand gestures used for
fingerspelling in sign language. In this user-independent model, classification machine learning algorithms
are trained using a set of image data. For this, we are using the Convolutional Neural Network algorithm to
train the model. An attempt is made to increase the accuracy of the model.

New features

Speech impaired people use hand signs and gestures to communicate. Normal people face difficulty in
understanding their language. Hence there is a need for a system that recognizes the different signs, and
gestures and conveys the information to normal people. It bridges the gap between physically challenged
people and normal people

App Permissions

Required to be able to access the camera device.
Allows an application to write to external storage.
Allows read only access to phone state, including the phone number of the device, current cellular network information, the status of any ongoing calls, and a list of any PhoneAccounts registered on the device.
Allows an application to read from external storage.