Movie Success Prediction Using Data Mining Php collage project
In this system we have developed a mathematical model for predicting the success class such as flop, hit, super hit of the movies. For doing this we have to develop a methodology in which the historical data of each component such as actor, actress, director, music that influences the success or failure of a movie is given is due to weight age and then based on multiple thresholds calculated on the basis of descriptive statistics of dataset of each component it is given class flop, hit, super hit label. Admin will add the film crew data. Admin will add movies data of a particular film crew. Admin will add new movie data along with film crew details as well as release date of the new movie. Based on the weight age of historical data of each film crew the movie will be labeled as super hit, hit or flop. This system helps to find out whether the movie is super hit, hit, flop on the basis of historical data of actor, actress, music director, writer, director, marketing budget and release date of the new movie.
- user login
- user register
- user profile
- user change password
- admin login
- admin profile
- admin change password
- This application helps to find out the review of the new movie.
- User can easily decide whether to book ticket in advance or not.
- User can predict the success of the movie before the release of movie.
With project:- Report, PPT, Class Diagram, Setup Your Device, All Doubts are Clear, Viva Questions
Operating System: Windows10,11,12.
APPLICATION/SOFTWARE - ANDROID STUDIO, CODE EDITTER.
Application Server:XAMPP,FIREBASE DATABASE ,SQL ETC.
Frontend designing languages: XML,MATERIAL DESIGN, LIBRARY USE,DESIGN THROW APIAND LIBRARY.
Backend :- JAVA,KOTLIN,FLUTTER.
Database: XAMPP,FIREBASE DATABASE ,SQL ETC.
Database Connectivity: PhpMyAdmin, FIREBASE, ADMIN SIDE.
Demo Video or Any query Contact:- 9306637630(Whatsapp/Call)
if you by project form project bhandar. project bhandar team share source code, ppt, report,and run project your system throught online or connect your system throught anydesk/teamviwer.
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