As there is a overwhelming selection of different wines at supermarkets, a lack of knowledge and different tastes of wines, vino chance helps selecting the right wine for the right occasion. We help wine newcomers and enthusiasts with their selection, recommend the perfect wine fitting to their taste or depending on the dish they want to eat and help wine experts or those to-be to broaden their horizon.
To get a local copy up and running, proceed as follows:
First you need to navigate into the backend
directory to set up a virtual environment
, activate
it and install
all necessary packages:
#windows
cd backend
python -m venv venv
venv/Scripts/activate
pip install -r requirements.txt
#macOS/Linux
cd backend
python3 -m venv venv
venv/bin/acitvate
pip3 install -r requirements.txt
Now use the following command to run the backend
:
#windows
python app.py
#macOS/Linux
python3 app.py
After successful installation and activation of the backend-part use the frontend
directory to start the project:
cd frontend
npm install
npm start
(note that you need two different terminals: one for the backend and one for the frontend-application)
-
find and clear suitable Dataset
-
decide on a design
-
built a wireframe
-
connect wine to food
-
write filters
-
built website
-
built a backend structure
-
connect backend and frontend
-
implement a filter
-
implement all filters
-
add QR-Code scanner
-
implement a food-to-wine-recommendation-system based on a machine learning approach
...
Our full roadmap can be found on our trelloboard.
You will find the Figma-Design for the Prototype and Wireframe here. You find further information on the design process on our mural.