Cine-Predict:A Movie Success Predicting system

A Movie Success Predicting System is a system that helps predict before release how movies will be rated at the box office. In this competitive world it has become important to keep in mind that for producers, financiers, and filmmakers to understand what makes a successful film. This system provides helpful insights into how a film might do well, how viewers will react and respond, and how critics will evaluate it by utilizing historical data and technology like machine learning (ML), and various performance metrics. The findings demonstrate that the proposed method in the system achieve prediction with an accuracy of 72.7%, which is higher when compared to other existing system by 6.7%, and 2.7% respectively. By looking at key factors like genre, budget, length, and release date and director's popularity are also key indicators of success. This system provides information on audience response and box office performance. It also aims to create a ML model that increases prediction accuracy to deliver precise and data-driven predictions about a movie's chances of success.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/gcon65540.2025.11173335
Primary Topic
Cinema and Media Studies
Type
article
Field-Weighted Citation Impact
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article

Cine-Predict:A Movie Success Predicting system

Juniorika Lyngdoh
Cinema and Media Studies
article

Cine-Predict:A Movie Success Predicting system

Juniorika Lyngdoh
article en

Abstract

A Movie Success Predicting System is a system that helps predict before release how movies will be rated at the box office. In this competitive world it has become important to keep in mind that for producers, financiers, and filmmakers to understand what makes a successful film. This system provides helpful insights into how a film might do well, how viewers will react and respond, and how critics will evaluate it by utilizing historical data and technology like machine learning (ML), and various performance metrics. The findings demonstrate that the proposed method in the system achieve prediction with an accuracy of 72.7%, which is higher when compared to other existing system by 6.7%, and 2.7% respectively. By looking at key factors like genre, budget, length, and release date and director's popularity are also key indicators of success. This system provides information on audience response and box office performance. It also aims to create a ML model that increases prediction accuracy to deliver precise and data-driven predictions about a movie's chances of success.

Assam Don Bosco University (IN)
Openalex Percentile: Top 65%
Cinema and Media Studies
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