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American Sign Language Interpreter Using an RGB-D Camera and Machine Learning — AI & Machine Learning project by YenkoDev

American Sign Language Interpreter Using an RGB-D Camera and Machine Learning

Software as a Service

No

Category

AI & Machine Learning

Clients

Mapua University

Techstack

PythonTensorFlowMediaPipeOpenCV3DCNNLSTM

Purpose

Identify and classify American Sign Language hand gestures from RGB-D camera input, using 3DCNN and LSTM deep learning models to improve communication and accessibility for ASL users.

Description

The pipeline extracts hand landmarks from RGB-D video using MediaPipe and OpenCV, then feeds the sequences to an ensemble of 3D Convolutional Neural Network and Long Short-Term Memory models built in TensorFlow. Per-gesture models are trained and evaluated with confusion-matrix analysis, and a threaded webcam pipeline runs gesture recognition in real time. Developed as a thesis project at Mapua University.

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