Engineered a diagnostic tool utilized by diverse simulation platforms (e.g., Matlab) to interface with Teamcenter, ensuring robust connectivity and data integrity.
This project introduces an innovative solution aimed at breaking down communication barriers for individuals who lack sign language proficiency or face challenges accessing sign language interpreters. By leveraging state-of-the-art technology, this project achieves a remarkable 98.23% accuracy rate in recognizing American Sign Language (ASL) alphabets.