Abstract:
This system predicts movie success classes like flop, hit, and super hit using a mathematical model. For this, we must develop a methodology in which the historical data of each component—actor, actress, director, music—that affects a movie’s success or failure is given by weight age, and then based on multiple thresholds calculated from descriptive statistics of each component’s dataset, it is labeled flop, hit, or super hit. Admin will add film crew data.
Admin will add film crew movies. The admin will add the new movie’s release date, film crew, and data. The film will be a super hit, hit, or flop based on each crew’s historical data. Based on actor, actress, music director, writer, director, marketing budget, and release date data, this system determines whether the movie is a super hit, hit, or flop.
Weekend movies get higher weight ages, while weekday movies get lower weight ages. Movie success is predicted using actor, actress, director, writer, music director, and marketing budget historical data. This app finds new movie reviews. This system helps users decide whether to pre-book tickets.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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