Movie Profit Prediction

Abstract

This paper produces a merit to today's generation though years passed people's love for movies and entertainment has not passed. Every year more than 200 films are released in Tamil film industry, sometimes this range reaches to 500 but the foremost circumstance that is to be inspected is the success rate of the movie. Every movie producer who invests money for the production of the movie is keen to know the conclusion of their investment, sometimes the result may surprise them, sometimes it may downhearted them. There is where our study plays an important role in early prediction of the conclusion that is our study propounds a decision support system using machine learning techniques. This experimentation avoids the investment risk by helping the investors to predict the success rate of the movie. We have accumulated different data from different movies to examine the profitability of the movie with its data and we have implemented different algorithms based on the collected data and have acquired a good accuracy with respective algorithms. This dissertation of early prediction is highly essential and favorable for the film industry. This precision of early prediction can be further improved and utilized by using larger data sets and features.