Astro-AI is a comprehensive galaxy evolution analysis platform that integrates cosmic evolution simulations, cluster environment analysis, and JWST spectroscopy into a unified research environment. Developed by Team R3NS for the CAM-SUST 2025 program.
- 🌌 Cosmic Evolution Simulations: 21cm reionization modeling with 21cmFAST
- 🌟 Cluster Environment Analysis: Galaxy clustering and environmental effects
- 🔭 JWST Spectrum Analysis: STScI pipeline integration and Bagpipes SED fitting
- 📈 Integrated Dashboard: Cross-module analysis and visualization
- 🤖 AI-Powered Insights: OpenAI integration for scientific interpretation
- 📱 Web-Based Interface: Streamlit-powered responsive UI
CAM-SUST 2025 Program
Copernicus Astronomical Memorial of Shahjalal University of Science and Technology
Sylhet, Bangladesh
Team R3NS
- Redwan Rahman - Project Lead, Backend & Frontend Development
- Nishat Nabilah Ahmed - Scientific Validation Lead
- Nafia Wahid Nirjhor - Backend Development
- Saidul Hossain Al Amin - Scientific Validation & Documentation
- Ahnaf Rahman Nabil - Quality Assurance
This software is protected under the Astro-AI Proprietary License.
- Educational purposes within academic institutions
- Non-commercial research
- Personal learning and study
- Commercial use without permission
- Distribution or redistribution
- Modification or derivative works
- Removal of attribution
For any use beyond the permitted scope, you must obtain written permission from BOTH:
- Redwan Rahman: redwanrahman2002@outlook.com
- CAM-SUST: Copernicus Astronomical Memorial of Shahjalal University of Science and Technology
# Clone the repository (authorized users only)
git clone https://github.com/Red1-Rahman/CAM-SUST2025.git
cd CAM-SUST2025
# Install dependencies
pip install -r requirements.txt
# Launch the application
streamlit run app.pyComplete Scientific Stack: Full astronomical analysis capabilities from deployment.
For Streamlit Community Cloud deployment, see DEPLOYMENT.md for comprehensive scientific package setup.
Included: 21cm simulations, SED fitting, JWST pipeline, AI analysis, advanced astronomical packages.
Streamlit Cloud Platform: linux-64 (Debian-based containers)
- Python: 3.10 or higher
- Operating System: Linux (recommended), Windows (limited), macOS
- Memory: 4GB RAM minimum, 8GB+ recommended
- Storage: 2GB free space for dependencies
- Platform:
linux-64(x86_64 architecture) - Container OS: Debian bookworm
- Python Environment: Conda + pip managed
- System Packages: apt-get installable libraries
- Web Framework: Streamlit
- Scientific Computing: NumPy, SciPy, Pandas
- Astronomy: Astropy, Bagpipes
- Visualization: Matplotlib, Seaborn
- AI Integration: OpenAI API
Optional heavy dependencies: py21cmfast, JWST pipeline
INSTALL.md- Installation guide for all environmentsDEPLOYMENT.md- Streamlit Cloud deployment guideLICENSE- Full licensing terms and conditionsCOPYRIGHT- Copyright notice and restrictions
If you use this software for academic research (with proper permission), please cite:
@software{astro_ai_2025,
title={Astro-AI: Galaxy Evolution Analysis Platform},
author={Rahman, Redwan and Team R3NS},
institution={CAM-SUST, Shahjalal University of Science and Technology},
year={2025},
url={https://github.com/Red1-Rahman/CAM-SUST2025}
}This software contains proprietary algorithms and methodologies developed specifically for astronomical research. Unauthorized use, copying, distribution, or modification is strictly prohibited and may result in legal action.
By accessing this repository, you acknowledge that you have read and agree to the terms specified in the LICENSE file.
Primary Contact: Redwan Rahman
📧 Email: redwanrahman2002@outlook.com
Institutional Contact: CAM-SUST
🏛️ Copernicus Astronomical Memorial of Shahjalal University of Science and Technology
📍 Sylhet, Bangladesh
📧 Email: camsust@gmail.com
© 2025 Redwan Rahman and CAM-SUST. All rights reserved.