World Braille Day

  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 .

  Braille system is there for almost a century in English language. The six-dot pattern is being used for describing a lot of syllables in the English dictionary like the alphabets and many words and phrases. There are many works, which has been done to help blind people to read and write and able to communicate with a person who is totally able to read and write. But there are very few instances where the text input of a blind person is being converted into voice . So, in this paper , we have presented a model to solve this issue using neural network with 97% accuracy. Intelligent Computing Techniques for Smart Energy Systems.