Idea Name: |
Gesture Recognition |
Slogan: |
Convenience for Hearing Impaired Individuals |
Supervisor Name: |
W/C Zahid Ali |
Supervisor Designation: |
Instructor |
Supervisor School: |
CAE |
Supervisor Department: |
Avionics Department |
Contact number: |
|
Email ID: |
[email protected] |
Abstract: |
Vision based hand gesture recognition android application for aid to hearing impaired persons is the main objective of my project. The project is based on AI for real time applications. |
What is the unmet need in society that your idea will fulfill ? |
Very few individuals in Pakistan learn sign language, thus, opportunity of communication with a large section of population is lost for hearing impaired individuals. This project aims to amend that by providing an AI based platform for disable individuals for communication through sign language. |
Who needs it ? How many would benefit ? |
There are approximately 10 million hearing impaired citizens in our country who all rely on Pakistani Sign Language to communicate. They all would benefit from this smartphone application. |
How will the solution works |
First of all, machine learning algorithms will be used to train our system by feeding data set images of sign language gestures to convolution neural networks. Once we have trained the system, it will be able to recognize the hand gestures during live video feed and convert it in to text and speech. All this will be implemented for android application. Ultimate vision is to help a hearing impaired person communicate as easily as opening an app on smartphone. |
Who are your competitors ? How is your solution different |
This is a relatively modern concept and not much work has been done in this field. Hence the whole idea in itself is a different solution. |
Status: |
new |
Entry Date & Time: |
2021-12-14 (0726) |