HandiText Sign Language Recognition

Project Title

HandiText Sign Language Recognition

Project Area of Specialization Artificial IntelligenceProject 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 Software SystemCore Industry HealthOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	17000
Webcam	Equipment	1	2000	2000
Microsoft Kinect	Equipment	1	5000	5000
GPU System	Equipment	1	10000	10000