Dots and Dashes: Understanding the Language of Morse Code Using Convolutional Neural Network

This research study presents a novel Morse Code translator integrated with advanced hand detection technology to facilitate gesture-based communication. Leveraging computer vision and machine learning algorithms., our system detects and tracks hand movements., enabling users to input Morse Code through intuitive gestures. The proposed translator employs a convolutional neural network to recognize distinct hand signals and converts them into corresponding Morse Code representations. The system achieves high accuracy and real-time performance., demonstrating its effectiveness in bridging communication barriers for individuals with disabilities and offering a seamless., hands-free communication solution in diverse environments. This research contributes to the development of accessible and innovative assistive technologies for enhanced communication capabilities.