  With the continuous increase of internet usage in todays time, everyone is
influenced by this source of the power of technology. Due to this, the rise of
applications and games Is unstoppable. A major percentage of our population
uses these applications for multiple purposes. These range from education,
communication, news, entertainment, and many more. Out of this, the application
that is making sure that the world stays in touch with each other and with
current affairs is social media. Social media applications have seen a boom in
the last 10 years with the introduction of smartphones and the internet being
available at affordable prices. Applications like Twitch and Youtube are some
of the best platforms for producing content and expressing their talent as
well. It is the goal of every content creator to post the best and most
reliable content so that they can gain recognition. It is important to know the
methods of achieving popularity easily, which is what this paper proposes to
bring to the spotlight. There should be certain parameters based on which the
reach of content could be multiplied by a good factor. The proposed research
work aims to identify and estimate the reach, popularity, and views of a
YouTube video by using certain features using machine learning and AI
techniques. A ranking system would also be used keeping the trending videos in
consideration. This would eventually help the content creator know how
authentic their content is and healthy competition to make better content
before uploading the video on the platform will be ensured.
