Enhancing the Skills of Visually Impaired Individuals by Generating Open-Source Engine Using Machine Learning

The manuscript textbook anthology design aims to help visually bloodied individualities by furnishing audio read-reverse of published and Hand-scripted textbook. A portable scanning device is employed to capture the contents of a textbook which is sent to an Android phone for processing. An open-source OCR engine called Tesseract, implemented in Python, extracts the text from the image and converts it to speech. The project also includes a text-to-speech conversion system and a voice assistant using Python. The research focuses on combining OCR and speech synthesis technology to create a cost-effective image-to-speech conversion system. The system has potential to improve communication for visually impaired individuals, allowing them to interact with computers using voice commands. The OCR system implemented in Python is trained to recognize capital English letters and numbers, and the extracted text is saved in a notepad file. The text-to-speech conversion system developed as part of the project allows for direct input of text from images into a computer, generating speech output using Python.