One friend group -> Where should we eat? -Many food preferences, financial situations, and locations
Find Commonalities by using data analytics to pinpoint the cuisine, place, and price that suits everyone
Our process is easy
- Select a group of friends
- We compute your preferences
- Browse our suggestions
- Enjoy and get rewarded
- Cuisine & Price
- TensorFlow analyzes transaction history to discover shared preferences at an affordable price.
- Google Maps API finds matching places
- Location -> Centroid calculations on current and past user locations
- Rewards (Credit Card Bonuses)
- Matches users with sponsored spots for bonus points
- Haversine’s Law
- Convex hull through Jarvis’ algorithm
- Remove restaurant outliers using elementary statistics
- Binary search :)
- Sigmoidal functions
- Ray casting
- Fork files
- Install all requirements
- Run flask in c1-summit folder in command prompt
flask run
- Run Node.js in the public folder
npm start