Location-based-Restaurants-Recommendation-System

CS6350 Big Data Management and Analytics Final Project

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Designed and implemented location based static and dynamic recommendation system for restaurants based on user input such as state, city, type of food.
Technologies & languages used:

Apache Spark

Scala

Python

Kafka

Kibana

Elastic search

(1) Static Recommendation System
-- Implemented collaborative filtering to recommend restaurants
-- Technologies used => Apache Spark, Scala

(2) Dynamic Recommendation System
-- Used Kafka server for streaming the data, Apache Spark for recommendation and visualization using Kibana

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Authors:

Ankita Patil

Lopamudra Muduli

Shruti Harihar

Bhakti Khatri

Nikhil Kumar Chandra