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Using Hotel Data to predict High Value And Potential VIP Guests

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bigredbug47/dataspire-lite

 
 

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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

Architecture

AI Pipeline Explanation

Pipeline

Demo

Video demo

Deployment

docker-compose up --build -d

Contributors

Duy Nguyen
Duy Nguyen

Hien Cao
Hien Cao

Quoc Nguyen
Quoc Nguyen

Hai Vo
Hai Vo

Minh Nguyen
Minh Nguyen

Hoang Anh Nguyen
Hoang Anh Nguyen

MIT

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Using Hotel Data to predict High Value And Potential VIP Guests

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  • Python 38.1%
  • Java 32.2%
  • TypeScript 23.6%
  • SCSS 4.4%
  • JavaScript 0.9%
  • Dockerfile 0.6%
  • HTML 0.2%