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Rette Dein Lieblingsrestaurant in der Coronakrise, indem du den Weinkeller leer kaufst. 🍷

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johanneshiry/Weinretter

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WeinRetter Cover Image

We love wine. And we all have our little favourite place in the neighbourhood where we enjoy drinking our wine best. But because of CoVid-19 they are closed now and we sit in solidarity self-isolation on our couches - without our favourite wine.

We want to change that: To avoid having to give up our wine and our favourite pubs, we have come together as "Wine Saviours": We bring the stocks of restaurateurs into the living rooms at home - and with that a little financial support into the pockets of the restaurateurs in these difficult times. We very much hope that after the Corona crisis all our favourite restaurants will open their doors again and until then we are happy to support them sip by sip, glass by glass and bottle by bottle.

Project Background

During the #WirVsVirusHackathon of the Federal Government of Germany, we launched the website www.weinretter.de, where restaurateurs can offer their stocks of wine (and other goods) by registering with the name and address of the premises, the products for sale and their contact details. Consumers can use an interactive map to get an overview of the registered restaurants that wish to sell their wine - either for delivery or collection - and order directly.

We also introduce the team, participating restaurants and interesting facts on our newly launched Instagram channel @weinretter_de. Many of us would like to support our favourite pub or the little Italian on the corner in these difficult times and this is our chance to do so.

Technical Insights

  • Registration form for Restaurants with Telegram Notification bot on new entries
  • FrontEnd with VueJS/Nuxt/OpenStreetMap
  • BackEnd with Python/Flask
  • Deployment in two separate docker containers (backend/frontend)
  • MongoDB as backend database

Built with

  • Docker
  • Flask
  • VueJs/Nuxt
  • HTML/CSS
  • JavaScript/TypeScript
  • Python
  • Telegram Messenger API
  • MongoDB
  • Leaflet