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With the continuous increase of internet usage in todays time, everyone isinfluenced by this source of the power of technology. Due to this, the rise ofapplications and games Is unstoppable. A major percentage of our populationuses these applications for multiple purposes. These range from education,communication, news, entertainment, and many more. Out of this, the applicationthat is making sure that the world stays in touch with each other and withcurrent affairs is social media. Social media applications have seen a boom inthe last 10 years with the introduction of smartphones and the internet beingavailable at affordable prices. Applications like Twitch and Youtube are someof the best platforms for producing content and expressing their talent aswell. It is the goal of every content creator to post the best and mostreliable content so that they can gain recognition. It is important to know themethods of achieving popularity easily, which is what this paper proposes tobring to the spotlight. There should be certain parameters based on which thereach of content could be multiplied by a good factor. The proposed researchwork aims to identify and estimate the reach, popularity, and views of aYouTube video by using certain features using machine learning and AItechniques. A ranking system would also be used keeping the trending videos inconsideration. This would eventually help the content creator know howauthentic their content is and healthy competition to make better contentbefore uploading the video on the platform will be ensured.

Machine Learning enabled models for YouTube Ranking Mechanism and Views Prediction