Fake news and hoaxes have been there since before the advent of the Internet. Social media platforms are used to publish fake news to increase viewership or as part of psychological warfare. In recent years there has been a widespread concern that misinformation on social media is damaging societies and democratic institutions. In response, social media platforms have announced actions to limit the spread of false content. The main objective of our project is to differentiate between the real and fake twitter trends. We aim to report fake twitter trends on real time using machine learning algorithm and display it using web and mobile applications. We will maintain a database where we will store trends on daily, weekly and monthly basis and display it on our web and mobile applications. This system will be capable of displaying trends analytic reports on a daily and monthly basis and this can also provide the users with historical fake trends which resulted in great chaos.