ISS-Supply-Optimization-Project

Introduction

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.

Features

• 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.

Tech Stack

• Frontend: HTML, CSS, PHP
• Backend: Python with Flask
• Libraries/Tools: Jupyter Notebook for algorithm creation, Pandas for data manipulation, Matplotlib/Plotly for data visualization

Prerequisites

• Python 3.6 or higher
• Pip package manager
• A modern web browser

Setup Instructions

Consult the Installation Manual found in the Wiki page.

Authors

• 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