National University of Singapore | Singapore

Calvin Tantio | tan zhi wei melvin | Harsh Gadodia

Recently, with the development of the internet, the spread of information has been faster than ever. This information comes in many forms, which includes, but not limited to, videos and learning materials provided by online learning platforms, such as Coursera or MIT OpenCourseWare, and online news articles. While many have benefited from this rapid spread of information, around 45% of the world’s population barely has an internet connection [1] to take advantage of this invention. Moreover, only around 1.5 billion people are literate in English [2] despite English being one of the most important mediums of knowledge transfer. Given that education is an integral part of human life, and that there are so many people in the world who are still deprived of this fundamental human need, education has been listed as the fourth goal of the United Nations Sustainable Development Goals. Inline with the United Nations’ goal, our vision is to make factual content readily accessible and understandable for people in regions of limited internet connection. Our solution makes use of machine learning algorithms to: Filter out jargons and opinions Translate to a language understood by end-user Compress all forms of data to make it accessible with minimal resources [1] [2]