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A research project that aims to create an application that takes Amharic statements in text or audio format. The application will initially transcribe the audio data into Amharic text if the input is an audio signal. The transcribed sentences are then translated into Ethiopian sign language native grammar, and the application displays the final result as a graphical animation. The project was carried out by a team of four people.

Objective-C 0.45% C# 94.28% HLSL 0.11% ShaderLab 0.12% Python 1.64% Jupyter Notebook 3.40%

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daniel2371 avatar eandualem avatar nabilseid avatar zelalemgetahun9374 avatar

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