Sponsored Projects
Deaf art express and air canvas
![](https://coeruniversity.ac.in/assets/frontend/images/re-prob1.webp)
Objective
Create a system that can recognize and interpret sign language gestures accurately. Rationale: This will enable deaf individuals to communicate more effectively with both other deaf individuals and those who do not understand sign language.
Application
![](https://coeruniversity.ac.in/assets/frontend/images/pro-b2-blank.webp)
Sign Language Recognition
![](https://coeruniversity.ac.in/assets/frontend/images/pro-b2-blank.webp)
Visual Communication Dictionary
![](https://coeruniversity.ac.in/assets/frontend/images/pro-b2-blank.webp)
Text-to-Voice Conversion
![](https://coeruniversity.ac.in/assets/frontend/images/pro-b2-blank.webp)
Visual Art Representation
Future prospective
Create a robust machine learning model that can accurately recognize and interpret a wide range of sign language gestures and expressions, encompassing various sign languages used globally
Team members
- Jaya Shree
- Pratham Kumar
- Shruti
- Anshul Singh
- Rishav Sharma
- Virat Tiwari
- Chitra Jain
Mentors
Ms. Soumya Upadhaya