Subhadeep Bhattacharyya

SOFTWARE ENGINEER

RESTAURANT RECOMMENDER

Restaurant discovery in a city is a difficult proposition for a diner with many things to consider -

As a part of this project we aimed to aggregate data across different sites (Yelp, Zomato, TripAdvisor) and compare restaurants on a common platform.

The source code can be viewed here.

The what ? To provide restaurant-goers a list of restaurants that accurately match their taste based on cuisine, popularity, reviews etc.

The how ? By mining and summarizing restaurant data from multiple restaurant discovery sites, we were be able to provide our users the most accurate information for a restaurant listing

Data Sources:

6 Product Features:

Technologies Used:

  • Role: Developer
  • Event: Coursework
  • Location: Carnegie Mellon University, Pittsburgh
  • Year: Spring 2018

Project 10a