Tourist Management Using Machine Learning

Also Available Domains Data Science

Project Code :TCMAAN81

Objective

Technological innovation has been changing the tourism industry precipitously and making the holiday experience more enjoyable and easier than before. The purpose of this project is to identify the current and future changes by the machine learning (ML) system as artificial intelligence in the hospitality industry.

Abstract

With the development of country economy, formation of a new life concept and the perfection of vacation system, tourism has become more and more people’s choice during the holidays. Its market is broad and potential. At present, the main way for guide service is the artificial guide service, which have many shortcomings.  The developing tourist industry proposes higher and higher demands to the intelligent tourist guide system, which can take place of the traditional artificial guide service. Functions of intelligent automatic interpretation, real time navigation, intelligent route planning and surrounding service reminder are included in it. With rapid development of electronic information technology and computer technology as the support.  

AI is a constellation of technologies that enable machines to act with higher levels of intelligence and emulate the human capabilities of sense, comprehend and act. Thus, computer vision and audio processing can actively perceive the world around them by acquiring and processing images, sound and speech. Artificial intelligence is implemented in tourism management is highly recommended approach therefore in this app we are going to implemented as fallows.   

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

SOFTWARE SPECIFICATIONS

  • Operating System: Windows and Android
  • SDK IDE: Android Studio 3.3
  • Virtual Emulator: Nexus Pixel 2
  • Programming Language: Java
  • Front End: Xml
  • Server scripting Language: PHP
  • Database: MySQL

HARDWARE SPECIFICATIONS

  • CPU type: Intel i7
  • Ram size: 16 GB
  • Hard disk capacity: 1TB
  • Monitor type: 15 Inch color monitor
  • Keyboard type: Internet keyboard
  • Mobile: Android

Learning Outcomes

  • About Android Studio.
  • Android architecture.
  • Basic about java.
  • Basic about MySQL.
  • Knowledge about server-side programming.
  • Difference between client side and server-side programming language.
  • Knowledge about server.
  • Knowledge about database and queries.
  • Knowledge about API.
  • How to communicate with API.
  • How API Communicate with Server.
  • What are Packages and dependencies regarding the app?
  • What are various versions of android app and android operating system.
  • About Android studio.
  • Client-side validation.
  • Server-side validation.
  • Difference between client-side validations.
  • Different Debugging Technique’s.
  • Deployment of app.
  • About play store deployment.
  • What is manifest?
  • About XML.
  • Widgets in android.
  • Views in android.
  • Layouts in android.
  • How to design the user Interface.
  • About activities.
  • About ML modules.
  • Project Development Skills:
    • Problem analyzing skills.
    • Problem solving skills.
    • Creativity and imaginary skills.
    • Programming skills.
    • Deployment.
    • Testing skills.
    • Debugging skills.
    • Project presentation skills.

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