Sign Language Interpreter Using Deep CNN

This paper presents a real-time Sign Language Interpreter using Deep Convolutional Neural Networks (CNN). The system captures hand gestures using a webcam and classifies them into alphabets. The proposed system achieves high accuracy and helps hearing and speech-impaired people communicate effectively.