Arabic-Realtime-Sign-Detection

Real-Time Arabic Sign Language Detection System

Built a computer vision system to detect and classify Arabic sign language gestures in real time using deep learning.

- Problem: Enable real-time recognition of hand signs for accessibility and learning applications

- Solution: Developed a deep learning model integrated with OpenCV for live webcam processing

- Result: Accurate real-time predictions with low latency suitable for interactive use

Tech: Python, PyTorch/TensorFlow, OpenCV

Available for customization based on client requirements.