I’ve built a Sign Language Translator that leverages image capture to label signs and create a robust dataset. It then detects these signs in real-time video and uses an audio generator to vocalize them. This project is designed to bridge the communication gap between deaf and mute individuals and others, particularly in patient-doctor interactions. It’s been incredibly fulfilling to work on something that has the potential to make a real-world impact!