| Student Name | School | Degree | Year | |
|---|---|---|---|---|
| Tanzila Iram | Electrical Engineering | Undergraduate | Fourth | [email protected] |
| Muhammad Faizan Ikram | Electrical Engineering | Undergraduate | Fourth | [email protected] |
| Inter School Idea ? | No |
| Do you need expertises from another area: | Yes |
| If Yes please provide details of expertises you need: | Android App Development & Computer Vision |
| Idea Name: | Realization and Implementation of Communication for Hearing Impaired and Inarticulate People |
| Slogan: | Reducing communication barrier in the society |
| Supervisor Name: | Sajjad ur Rehman |
| Supervisor Designation: | Associate Professor |
| Supervisor School: | Other |
| Supervisor Department: | Electrical Engineering |
| Contact number: | +92 333 9123390 |
| Email ID: | [email protected] |
| Abstract: | |
| This project will focus on developing a communication channel between hearing impaired & inarticulate people & those with no disability. Our proposed system will consist of a mobile application for recognizing sign language by using machine learning & image processing techniques & to convert it into speech which reduces communication barrier between deaf-mute community & those with no disability. | |
| What is the unmet need in society that your idea will fulfill ? | |
| This project will satisfy the basic need for communication between hearing impaired & inarticulate people & those with no disabilities. Using this app deaf-mute people can convey their message and people with no disabilities can understand their sign language by reducing the communication barrier. | |
| Who needs it ? How many would benefit ? | |
| Hearing-impaired & inarticulate people can use this project & people who can hear & speak can also use this project to understand/learn the sign language of signers. Whole community including deaf-mute & those with no disabilities can use this mobile app to reduce communication barrier between them. | |
| How will the solution works | |
| In this project, the sign language of hearing-impaired and inarticulate people will be recorded in the form of videos. The next step is to pre-process those videos which include the frames extraction. After pre-processing different machine learning and image processing techniques will be used to convert the signs into text. Then the text is converted to speech using speech synthesis techniques and finally, the whole system is embedded into an Android app using Android app development. | |
| Who are your competitors ? How is your solution different | |
| Our competitors are those who designed existing apps. These apps are web apps & translate only alphabets or words by using hardware gloves to sense signs. We mami188 | |
| Status: | new |
| Entry Date & Time: | 2021-12-26 (0918) |