College English Conversation Club

Our project consisted of developing a tourism recommendation system focused on hotel services, restaurants and entertainment venues. As a first objective, we had to extract the data, transform it, normalize it and make it available through pipelines creating a Google Storage hosted data warehouse. Finally, through Google Big Query and Dataproc, we would define a relational database and the environment for machine learning analysis and insight generation.

GCP application with automation of ETL processes and data flow to the data warehouse. Relational database that served as support for a Rest API that returns user queries. Predictive machine learning model for business creation based on sentiment analyst.