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WINE PICKER - Revolutionizing dining experience
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Project Details

Wine Picker Description

Introducing Wine Picker, a unique mobile app developed by Onix in collaboration with Wine Collection Ltd. founders Josselin Guibert and Julien Sahut. Designed to revolutionize wine selection in restaurants, Wine Picker employs a market-leading algorithm for matching wines based on type, rating, price, and food pairing. With a sophisticated front-end for user-friendly selection and a robust back-end handling complex data processing, the app allows users to seamlessly choose the perfect wine while dining out. Additionally, Wine Picker features a comprehensive social media component, enabling users to share their wine experiences and for restaurants to promote themselves to a broader audience. Ideal for both casual diners and establishments looking to enhance their visibility, Wine Picker simplifies the wine selection process and enriches the dining experience.

Wine Picker Features

  • Food and Wine Matching: Match perfect wine with selected cuisine and vice versa. 
  • Wine Cellar Management: Link your wine bottles with all your tasting notes.
  • Wine Tasting Notes: Express your tasting experience on a wine.
  • Find Restaurants Nearby: Find best restaurants locally and globally.
  • Public and Private Groups: Reach a wider audience of wine lowers.
  • Share with Friends: Let your friends know your preferences and new wine discoveries.
  • Reverse search: If you like a specific wine, we will find the closest restaurants serving it.
  • Wine Reviews & Details, Restaurant Ratings and Review, Wine Listing Rating, and much more.
  • Snap winelist: take photo of a wine list and get it uploaded for further matching and wine selection in the app.
  • Invite your friends from Facebook, Google+, email.
  • Achievements: Receive prizes for your wine activities, reach the PRO level, so your notes are taken into account by the app as professional.
  • Search of particular wines: Perform search for specific wine through the app.
Technologies
Java
Python
Android
Swift
iOS
AI
Ecommerce
Objective-C
Google Places
Kotlin
Details
Time iconTime Spent
640h

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