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 * graphPaname
 
-This project aims to gather information about the smart city of Paris and
-organize it in different plots and tables.
+graphPaname is a system that collects real-time data, relevant to the COVID-19 epidemic de-escalation,  from the city of Paris.
+
+It works with 4 datasets about the de-escalation:
+
+- Retailers with home delivery
+- Additional parking places in relay parkings (parkings connected to public transportation)
+- Temporary cycling paths
+- Temporary pedestrian streets
+
+For each dataset, we offer a table with the data, and a map of Paris with markers.
+
+** Technologies
+
+- Flask
+- Pandas
+- Folium
+ 
+** Data sources
+
+- [[https://opendata.paris.fr/pages/home/][Open Data]]
+- [[https://www.openstreetmap.org/][OpenStreetMap]]
+- [[https://flickr.com][Flickr]]
+
+** Requirements
+
+- Nix
+ 
+** Installation
+
+1. Install Nix (compatible with Nix and Linux):
+
+#+BEGIN_SRC shell
+curl -L https://nixos.org/nix/install | sh
+#+END_SRC
+
+There are alternative installation methods, if you don't want to pipe curl to sh
+
+2. Clone the repository:
+
+#+BEGIN_SRC shell
+git clone https://coolneng.duckdns.org/gitea/coolneng/graphPaname
+#+END_SRC
+
+2. Change the working directory to the project:
+
+#+BEGIN_SRC shell
+cd graphPaname
+#+END_SRC
+
+3. Enter the nix-shell:
+
+#+BEGIN_SRC shell
+nix-shell
+#+END_SRC
+
+4. Run flask:
+
+#+BEGIN_SRC shell
+flask run
+#+END_SRC
+
+The website can be accessed via *localhost:5000*