🌌 Galaxy Classification Web App 🚀

This is a Machine Learning Web Application that classifies galaxies into Starburst or Starforming categories based on their features.
The app is built using Flask for the web interface and a Random Forest Classifier model for predictions.

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📌 Project Overview

🔹 Users input galaxy features in the UI.
🔹 The model predicts whether the galaxy is Starburst (1) or Starforming (0).
🔹 The output page displays the prediction with animated images of galaxies.
🔹 Space-themed interactive UI with glowing elements and animated background stars.

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🎯 Tech Stack

• Frontend: HTML, CSS, JavaScript, GSAP Animations
• Backend: Flask (Python)
• Machine Learning Model: Random Forest Classifier (Scikit-Learn)
• Deployment: Local Server / Gunicorn for Production

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🛠️ Setup & Installation

🚀 **Deployment **

This project is deployed on Render! You can access the live application here:

🔗 SDSS Galaxy Classification - Live Demo

✅ Hosted on Render for seamless access.
📌 Click the link above to explore the model in action!

OUTPUTS

1️⃣ Clone the Repository

git clone https://github.com/yourusername/galaxy-classification.git
cd galaxy-classification