Using Hotel Data to predict High Value And Potential VIP Guests

Last update: Feb 14, 2022

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Overview

Description

Using hotel data and AI to predict high value guests and potential VIP guests.

Hotel can leverage on prediction resutls to run more effective email marketing campaign, focus on the right target customers with only limited resources, and deliver better customer experiences.

Technology stack

Web/Frontend

Angular 11
Graphql
Lib: amchart, material, foundation

Server/Backend

Spring boot 2
graphql-java 11
Lib: graphql-java-tool, log4j, POI, commons-io, httpclient

AI Services

Python 3.8
Lib: Pandas, Featuretools, Scikit-learn, Numpy

Architecture

AI Pipeline Explanation

Demo

Video demo

Deployment

docker-compose up --build -d

Contributors

_{Duy Nguyen}

_{Hien Cao}

_{Quoc Nguyen}

_{Hai Vo}

_{Minh Nguyen}

_{Hoang Anh Nguyen}

MIT

Owner

HCG

GitHub Repository

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Using Hotel Data to predict High Value And Potential VIP Guests

Related tags

Overview

Description

Using hotel data and AI to predict high value guests and potential VIP guests.

Hotel can leverage on prediction resutls to run more effective email marketing campaign, focus on the right target customers with only limited resources, and deliver better customer experiences.