Vikranth3140/Movie-Revenue-Prediction
Movie Revenue Prediction System predicts the revenue of a movie with 14 parameters: name, rating, genre, year, released, score, votes, director, writer, star, country, budget, company and runtime using gradient boosting______________________________ Training Accuracy: 91.58%____________ Testing Accuracy: 82.42%.
This project helps film producers, studio executives, and investors forecast a movie's box office revenue before release. By inputting details like the movie's name, genre, director, cast, budget, and release year, you receive a predicted revenue range, enabling better strategic decisions. It's designed for anyone in the film industry looking to estimate financial performance.
No commits in the last 6 months.
Use this if you need to estimate a movie's potential earnings based on its key attributes to inform production, marketing, or investment decisions.
Not ideal if you need real-time, dynamic market analysis for actively released films, as this tool focuses on pre-release predictions.
Stars
13
Forks
4
Language
TeX
License
MIT
Category
Last pushed
May 03, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Vikranth3140/Movie-Revenue-Prediction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MengtingWan/oscar
predicting oscars using machine learning methods
LJSthu/Movie-Analysis
使用机器学习算法的电影推荐系统以及票房预测系统
Zer0-Bug/IMDB_Prediction
End-to-End ML Pipeline for IMDB Rating Prediction w/ Advanced Feature Engineering.
nv2105/MovieIQ-Predictive-Analytics-on-Film-Success
MovieIQ is a Streamlit-based interactive dashboard that predicts movie success using data-driven...
ronalderquiza/folbo-svr
Forecasting Local Box Office Revenue using epsilon-Support Vector Regression