🌌 Star Classification System

Welcome to the Star Classification System, an innovative project that leverages Python, and scikit-learn to analyze and classify stars based on their features. This project demonstrates the powerful machine learning techniques. 🌟

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✨ Features

• 🌠 Star Feature Extraction: Analyze star images to extract essential features like size, brightness, and position.
• 🧠 Machine Learning Classification: Utilize a pre-trained ML model to classify stars into specific categories.
• 📊 Accurate Predictions: High-performance classification using scikit-learn's robust algorithms.
• 🎛 User-Friendly Code: Clear and modular Python scripts, ready for extension and adaptation.

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🛠️ Tech Stack

• Programming Language: Python 🐍
• Technologies:
  • Data Science Libraries: Pandas, NumPy
  • Machine Learning: Scikit-learn for Random Forest.
  • Deep Learning: TensorFlow/Keras for Neural Networks.
  • Visualization: Matplotlib, Seaborn.
  • GUI Development: Tkinter.

🚀 Getting Started

📥 Installation

1. Clone the repository:

   git clone https://github.com/your-repo-url/star-classification-system.git

2. Navigate to the project directory:

   cd star-classification-system

3. Install dependencies:

   pip install -r requirements.txt

We welcome contributions! 🛠️

• Fork the repository 🍴
• Create a new branch for your feature or bugfix 🌿
• Submit a pull request 📬

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📜 License

This project is licensed under the MIT License. 📄

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📧 Contact

For any inquiries or feedback, reach out to us at sudharakaae7@gmail.com. 💬

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🌟 Thank you for exploring the Star Classification System!