This repository contains the implementation of a real-time gesture recognition system using Mediapipe for keypoint extraction and a Bidirectional LSTM neural network for gesture classification. The ...

Finally, a template-matching algorithm identifies the sign and display the text. As the output is text, one can easily interpret the meaning of a particular sign. This also curtails the difficulty to ...

Machine learning project for gesture recognition using SVM and CNN-LSTM. The project processes video data to extract key hand and body landmarks, leveraging Mediapipe for sign language recognition. A ...

The Sign Language Recognition System has been designed to capture video input, process it to detect hand gestures, and translate these gestures into readable text. The project consists of several key ...