Kenyan Sign Language Detection
About
- Category: Machine learning- Computer Vision
- language: Pure HTML,CSS,JavaScript
- Project Duration: 6 Months
- Project URL: GitHub
Description
This project aims to provide a solution for translating Kenyan Sign Language (KSL) into English text and subsequently translating the English text into Swahili. The system utilizes a TensorFlow object detection model for recognizing and understanding the gestures in the sign language, while the translation is performed using the XLM-Roberta model.
Features
- Gesture Recognition
- Real-time Translation
- User-Friendly Interface
- Accuracy and Reliability