The social network, a crucial part of our life is plagued by online impersonation and fake accounts. According to the ‘Community Standards Enforcement Report’ published by a private social media organization on March 2018, about 583 million fake accounts were taken down just in quarter 1 of 2018 and as many as 3-4% of its active accounts during this time were still fake. In this project, we propose a model that could be used to classify an account as fake or genuine. This model uses Random Forest Algorithm as a classification technique and can process a large dataset of accounts at once, eliminating the need to evaluate each account manually. The community of concern to us here is Fake Accounts and our problem can be said to be a classification or a clustering problem.