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Samu Social Hackathon

Hackathon organized at the Hive in February 2019.

Context

To help the Samu Social de Paris visit the different hotels we propose a tool to help the visit planing process.

  • Our solution proposes to:
    • Create pairs of workers that are available for a visit on a shared time window
    • Propose itinerary of hotel to visit for each pairs of workers based on their initial localisation.

Setup

NB: Phe project runs on python 3.6

  1. create a virtualenv
python3 -m venv samu_social
  1. Install requirements
pip install -r requirements.txt
  1. Run the main to get itineraries based on the data provided in the hackathon (not shared in this repo)
python src/main.py

Useful resources

https://adresse.data.gouv.fr/api (to get long and lat from an address)

Google OR-Tools for optimisation and especially routing problem.

Notes

This project is no longer updated.

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