Welcome to our ISS-Supply-Optimization Web App(To The Moon). This application is designed to analyze user-provided datasets and offer insightful predictions, visualized through interactive graphs and tables.
- Data Upload: Users can upload their data in CSV format.
- Data Processing: The app processes the data to identify patterns and correlations.
- Predictive Analysis: Using algorithms, the app predicts future trends based on the data.
- Visualization: Presents data predictions in the form of interactive graphs and tables.
- Frontend: HTML, CSS, PHP
- Backend: Python with Flask
- Libraries/Tools: Jupyter Notebook for algorithm creation, Pandas for data manipulation, Matplotlib/Plotly for data visualization
- Python 3.6 or higher
- Pip package manager
- A modern web browser
Consult the Installation Manual found in the Wiki page.
- Luis Arreola - Initial Work - https://github.com/NightlyPenguin
- Sun Heng - Initial Work - https://github.com/Sundarith
- Elizabeth Robles - Initial Work - https://github.com/Elizalizkika
- Chaeyeon Seo - Initial Work - https://github.com/chaekite
- Seunghyn Seo - Initial Work - https://github.com/csh1603