Also Available Domains Machine Learning
The main objective of the project to determine the most popular TV shows and movies in the social media by using AI.
Abstract:
There are so many different types of genres for our TV shows. Some of them being action, animation, biography, crime, comedy, drama, fantasy, horror, reality, mystery, thriller, etc. which have been agreed upon by us socially over a period of time. Different people like to watch different genres and always have a preference. A show’s popularity also depends on what genre it belongs to. For example a thriller might be popular among the younger crowd while a drama will fail for that same crowd. This gives us people choice and also the particular channel popularity. Since we can performance prediction permits a broadcasting network to higher specialize in the substantial investment required for his or her construction. However, our existing prediction methods are only used to predict the popular show by the TRP calculation and the accuracy poor prediction programs that have a poor popularity point. This app describes our advanced prediction model defines the performance analysis of the popular show which includes finding the factors that are leading the show into a success. First, finding the topmost 20 popular shows rating prediction. Then, fetching the information of each episode reviews.
Keywords: TV shows, channel popularity, prediction methods, episode reviews.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
H/W CONFIGURATION:
· Processor - I3/Intel Processor.
· RAM - 8GB (min).
· Hard Disk - 1 TB.
· Key Board - Standard Windows Keyboard.
· Mouse - Two or Three Button Mouse.
S/W CONFIGURATION:
Operating System :
Windows 7+.
· Programming : Java, python
· IDE : Android Studio. pycharms
· SDK : Android
· Libraries Used : Volley, Material design.
· Database : Mysql