A Dynamic Web Content Reader Application for Low Vision Patients using Python

With six meters highest visibility and 20 degrees maximum wide view, people who suffer from low vision are unable to see words and letters in ordinary newsprint. This fact makes the reading process becomes difficult that can disturb the learning process and slow the patient’s intellectual development. Therefore, an application is needed to help them read easier. The challenges faced by visually impaired people in reading printed text in their day-to-day life are often not well understood. This project is based on a prototype which helps the user to listen to the contents of the live websites in Tamil, English, and Hindi etc. It involves the extraction of content from the websites and translates audio output in the languages mentioned above. This is done using python libraries with the concept of Natural Language Processing, Web Mining, Text-to-Speech. It is portable and easy to use thus providing a better reading experience to the visually challenged people as enjoyed by their sighted peers.