The world is overloaded with information. There are so many different resources online and things we could learn to expand our horizon. For this project, we put together a tool that allows people to learn things quickly and continue to explore topics that they are interested in. Thus, we developed an Wikipedia Article Summarization and Recommendation systems, that allows user to preview their articles, and also continue to explore articles of similar topics. We use over 500,000 English Wikipedia articles (total data size: 5GB) for our algorithms. The project required us to work extensively with Natural Language Processing techniques, ranging from data processing to algorithm implementation.