The World Health Organization estimated that the number of blind people is (38 million) in 1990. This estimation was later extrapolated to (45 million blind) in 1996, and expected to be (76 million blind) in 2020. Islam is a universal religion as achieving equality is one of the most important values in it. Islam is a faith community in which everybody interacts with everybody else. The Holy Quran mentioned the disabled as part of this life, and discussed their rights and urged to take care of them in more than one place. Therefore, everyone has a responsibility to contribute to the best of their ability.
Since the technologies are updated every day, the idea of making use of these technologies became a must to facilitate the life of the whole world and especially people who really need help like blind people. Due to the shortages in applications that help such people in their daily life needs, we propose a framework of a cross domain recommender system to facilitate the everyday activities of blind people.
This study aims to build a conceptual cross-domain recommender system framework using machine learning and artificial intelligence (AI) techniques for blind and visually impaired people. The system functions by receiving initial inputs from the user as a voice messages and process, building the database to recommend relevant facilities (e.g. restaurants, music, trips, etc.) through voice messages as well.
The paper also opens a discussion about the potential challenges and concerns which future explorations, scientific research and real-world applications the recommender systems probably will encounter.