Zabang is built around a search engine where users can search for information coming from other websites or from social media. Also, users can submit their own websites, mobile apps, and company pages on social media. After building this project from scratch over a period of a few years, we implemented Machine Learning and Artificial Intelligence on it in 2017-2018. By registering on the site and filling out a profile questionnaire, a users starts searching for content on the wide web, and the website learns from everything the user does: the user’s searched terms, preferences, what results the user opens, etc. After that, the website determines what special interest groups the user belongs to. Later, when other users who have similar age, social, background, education patterns as you enter the website, the website starts feeding the new users with content that was proven to be interesting and relevant to all the special interest groups it determines the new user belongs to.