Sign language recognition application

There have been several advancements in technology and a lot of research has been done to help the people who are deaf and dumb. Aiding the cause, Deep learning, and computer vision can be used too to make an impact on this cause. This can be very helpful for the deaf and dumb people in communicatin

Project Title

Sign language recognition application

Project Area of Specialization

Computer Science

Project Summary

There have been several advancements in technology and a lot of research has been done to help the people who are deaf and dumb. Aiding the cause, Deep learning, and computer vision can be used too to make an impact on this cause. This can be very helpful for the deaf and dumb people in communicating with others as knowing sign language is not something that is common to all, moreover, this can be extended to creating automatic editors, where the person can easily write by just their hand gestures. We’ll use the TensorFlow framework here. A model can be trained to recognize different gestures of sign language and translate them into English. This will help a lot of people in communicating and conversing with deaf and dumb people.

Project Objectives

The purpose of Sign Language Recognition (SLR) systems is to provide an efficient and accurate way to convert sign language into text or voice has aids for the hearing impaired for example or enable very young children to interact with computers (recognizing sign language), among others.

Project Implementation Method

The users can create an account, users must be login to access the system, after signing in user can tap on the camera icon and show any sign in front of the camera, and after that camera detects the sign and shows the text which this sign says. This app development requires:

• Flutter
• Python IDE
• Android Studio
• Emulator

Benefits of the Project

• Target people who are deaf or dumb.
• It enriches and enhances children's cognitive processes.
• Sign language helps increase intelligibility for children when the sign is combined with speech.
• Provide information of what other people who can’t speak want to say.

Technical Details of Final Deliverable

The system has been created using TensorFlow by using DL algorithms and flutter is used for UI. The developed system is able to detect Sign Language gestures in real-time, through the application’s camera user can input and show any gesture or sign, and that app transfer the sign into text.

Final Deliverable of the Project

Software System

Core Industry

Others

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com