Gesturenet: Real-time Sign Language Recognition using a Hybrid Neural Network

This system bridges the sign-to-speech gap for deaf individuals. A real-time sign language recognition system uses a hybrid neural network to translate hand gestures into text. By combining pre-trained and custom models, it achieves high accuracy (>90%) while efficiently processing video data. This innovative approach promotes inclusive communication and shatters communication barriers.