The system presented in this
project aims to
Break down communication barriers for visually impaired individuals by translating written Braille into both text and audio formats. It leverages advanced machine learning techniques to accurately interpret Braille symbols and convert them into readable text. The system employs
convolutional neural networks (CNNs) to
improve the precision of Braille recognition. In addition, text-to-speech functionality is integrated to provide audio output, making the system more accessible. This project highlights the power of machine learning in creating inclusive solutions that cater to diverse user needs.
Braille Recognition Using Convolutional Neural Network.
Comments
Post a Comment