This project builds a real-time sign language recognition system using deep learning (1DCNNs & Transformers) and MediaPipe hand landmarks. It allows users to fingerspell letters/numbers or express signs for real-time translation. Pre-trained models and scripts for training/inference are included.
Sing Language to text conversion of India Sign Language
This notebook demonstrates an end-to-end pipeline for sign language action detection. Keypoints are extracted from video frames using Mediapipe and stored as coordinate sequences. An LSTM neural network is developed and trained to classify actions based on these sequences from live data.
Sistema de reconocimiento automático de Lengua De Señas Colombiana mediante dispositivo óptico de captura
Classification of Bengali Sign Language Characters by Applying a Novel Deep Convolutional Neural Network
Small projects I have worked on my free time
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