A YOLOv5 model developed from scratch to convey the signs to a blind perosn and can generate the text out from the signs made by mute person. It is a prototype to showcase the possibility on developing a interpreter for mute and blind people.

Major Project in Final Year B.Tech (IT). Live Stream Sign Language Detection using Deep Learning.

This project is a Sign Language Detection System that recognizes A to Z letters using Deep Learning

This application utilizes a YOLO12 AI model to detect and translate American Sign Language letters and a web interface for user interaction.

Sign Language Detection : A Python project for detecting American Sign Language gestures using OpenCV and Mediapipe. The model recognizes signs from live web cam.

Real-time American Sign Language detection using YOLOv5s, trained on 6 custom gestures. Detects hand signs via webcam and speaks the recognized gestures aloud using browser-based speech synthesis.

This project aims to develop a cutting-edge system that detects sign language from images and converts it into audio, and vice versa.

This project demonstrates hand sign detection using TensorFlow Lite and Flask.

In this project, we have created a model to detect sign language using mediapipe holistic keypoints and LSTM layered model.