🌌 Galactic Mining Hub
Table of Contents
- 🚀 Project Overview
- 📊 GitHub Stats
- 🛠️ Tech Stack
- 🏆 Featured in
- 🌟 Key Features
- 📊 Dataset
- 💻 Installation & Usage
- 📚 Project Documentation
- 📄 License & Contributing
- 🛰️ Acknowledgments
- 📞 Contact
- 👀 Our Contributors
🚀 Project Overview
Galactic Mining Hub is an advanced Machine Learning-based platform designed to revolutionize space mining exploration. By leveraging cutting-edge AI technologies, this project assists in the exploration and evaluation of potential mining sites across various celestial bodies. It provides predictive insights, personalized recommendations, and detailed analysis of mining site data, making it an invaluable tool for space mining enthusiasts, researchers, and industry professionals.
Developed by: Devanik
📊 GitHub Stats
🛠️ Tech Stack
🏆 Featured In:
| Event Logo | Event Name | Event Description |
|---|---|---|
 |
GirlScript Summer of Code Ext 2024 | GSSOC Ext is a one-month-long open-source program by the GirlScript Foundation that runs from October 1 to November 10, 2024 |
🌟 Key Features
- 🔮 Prediction Model: Forecast potential mining sites using advanced ML algorithms
- 💡 Recommendation Engine: Get personalized mining site suggestions based on custom preferences
- 📊 Data Analysis: Perform in-depth exploratory data analysis with clustering and outlier detection
- 📈 Interactive Visualizations: Create and customize advanced data visualizations
- 🧠 Actionable Insights: Gain valuable insights to guide decision-making in space mining ventures
📊 Dataset
The project utilizes a synthetic dataset representing various celestial bodies and their potential mining sites. Key features include:
- Celestial Body
- Mineral Composition (Iron %, Nickel %, Water/Ice %)
- Estimated Value (Billions USD)
- Sustainability Index
- Efficiency Index
- Distance from Earth (Million km)
💻 Installation & Usage
-
Clone the repository:
git clone https://github.com/Devanik21/ISRO_Mining_Site_FINAL_APP.git -
Install dependencies:
pip install -r requirements.txt -
Run the Streamlit app:
streamlit run app.py -
Navigate through the sidebar to explore different models and features:
- Prediction
- Recommendation
- Analysis
- Visualization
- Insights
-
Interact with the application by adjusting parameters and exploring the outputs to inform your space mining decisions.
📚 Project Documentation
| Document | Description |
|---|---|
| README.md | Project overview and main documentation |
| CONTRIBUTING.md | Guidelines for contributing to the project |
| LICENSE | Full text of the MIT License |
| CODE_OF_CONDUCT.md | Code of Conduct for contributors |
📄 License & Contributing
 |
 |
|---|---|
| This project is licensed under the MIT License. Click the badge to view the full license text. | We welcome contributions! Please read our Contributing Guidelines and Code of Conduct before getting started. |
🛰️ Acknowledgments
- Inspired by the growing interest in space exploration and resource mining on celestial bodies
- Special thanks to the open-source community and the developers of the tools used in this project
📞 Contact
Project Admin⚡
 DEVANIK DEBNATH
|
Project Mentors✨
 ANUSHA SINGH
|
 MADHU SRI
|
 SOUMYA RANJAN NAYAK
|
❤️ Our Contributors
- We extend our heartfelt gratitude for your invaluable contribution to our project! Your efforts play a pivotal role in elevating this project to greater heights.
- Make sure you show some love by giving ⭐ to our repository.
⭐️ If you find this project interesting, please consider giving it a star on GitHub!