HandiText Sign Language Recognition
Project focuses on translation of sign language gestures into Text or Audio, allowing other people who does not understand sign language to communicate with specially abled people
Project Title
HandiText Sign Language Recognition
Project Area of Specialization
Project Summary
Project focuses on translation of sign language gestures into Text or Audio, allowing other people who does not understand sign language to communicate with specially abled people
Project Objectives
Project objective is to allow seamless conversation and remove the communication barrier that exists between the normal and speciall abled, who are unable to speak or listen. This Project will help these kinds of people to possibly lead a normal life
Project Implementation Method
Project is implemented on Python. Machine learning with Image recognition is being used to recognize hand signs and gestures. These are then later converted into audio or text
Benefits of the Project
Benefits of Projects are that instead of using a translator to translate sign gestures into sentences, application can be used to interpret those signs
Technical Details of Final Deliverable
CNN algorithm is being used. Along with it, keras and tensorflow libraries are being more. Further more, a gpu based system is used for faster training of model. Dataset is collected from internet. For advanced gestures, dataset is being collected which is not available on internet
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Webcam | Equipment | 1 | 2000 | 2000 |
| Microsoft Kinect | Equipment | 1 | 5000 | 5000 |
| GPU System | Equipment | 1 | 10000 | 10000 |
| Total in (Rs) | 17000 |
If you need this project, please contact me on contact@adikhanofficial.com
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