Sign Language Interpreter using Long Short-Term Memory (LSTM)

Sign Language recognition is a fast-growing issue in computer vision and HCI that could change how we communicate with technology. This technique converts hand gestures into computer movements to bridge the gap between human intuition and machine understanding. The goal is to create a system that can recognize several hand movements regardless of lighting, background complexity, hand posture, or user peculiarities. Real-time performance ensures a seamless user experience with little gesture-to-response delay. A successful system should also be adaptable, supporting a wide range of gestures while being computationally efficient for several devices. This technology has many advantages. Speech and hearing-impaired people can benefit from sign language recognition. Computer input can be more natural and user-friendly with hand gestures instead of keyboards and mice. Hand-motion device control, virtual reality navigation, and augmented reality object manipulation are all possible.