A real-time Sign Language Detection system built using Deep Learning and Computer Vision.
This project bridges the communication gap between hearing-impaired individuals and others by recognizing sign language gestures through a webcam.
- 🔤 Detects hand gestures and maps them to sign language alphabets/words.
- 🎥 Works in real-time using webcam or video input.
- 🧠 Powered by CNN (Convolutional Neural Networks) trained on sign language datasets.
- 🖼️ Uses OpenCV for image preprocessing and detection.
- ⚡ Lightweight and fast, runs on CPU (GPU optional).