Movie Success Predictor - Created for GSoC 2026 Prep

Movie_Predictor_AI.ipynb

An interactive AIML project to predict movie success using Random Forest. Built for GSoC 2026 preparation.

🎬 Movie Success Predictor (AIML)

🚀 Overview

This repository contains a Machine Learning model that predicts whether a movie will be a HIT or a FLOP based on its budget and popularity.

🛠️ Features

• Interactive Mode: Users can input their own movie details to get predictions.
• Accuracy: Uses a Random Forest Classifier.
• Visuals: Includes scatter plots for data analysis.

💻 How to Run this code

1. Open the file Movie_Predictor.ipynb.
2. Click the "Open in Colab" button.
3. Run all cells and follow the interactive prompts at the bottom.

🎯 Goal: GSoC 2026

This project is part of my journey to contribute to open-source organizations in GSoC 2026