ESGI / SNCF Hackathon 2024 - Team 2

Project Overview

This project is developed by the Team 2 of "ESGI Hackathon 2024" for SNCF. The aim of this project is to implement a solution to detect spikes in users'tension to take proactive measures and prevent crises (e.g., potential PR disasters).

Folder Structure

• data/input: Contains input data for the project.
• data/output: Contains output data for the project.
• src: Contains the source code for the project.

How to Run

To launch the project, follow these steps:

1. Ensure you have Python 3.9.2 installed on your system.
2. Clone or download this repository.
3. Navigate to the project directory in your terminal.
4. Install dependencies using pip install -r requirements.txt.
5. Run the project using python3 src/main.py.

How to use our project ?

1. First, you need to import your xlsx file into /data/input/tx_retard.xlsx. Next, run python3 src/main.py import. This command generates a refined CSV file from the xlsx file, which can be found in /data/input/refined/data_filtre.csv.
2. After that, you'll need to rerun the script to generate the graph for the refined data using python3 src/main.py.

Update

Feel free to customize this README with additional information or specific instructions as needed for your project.