September 2020 - December 2020, Project of Ewha Womans University's Bigdata Application Class
The purpose of the project is to recommend travel destinations in Seoul according to user's preferences, while COVID-19 cases are rising, and to inform users of areas with small floating population by utilizing travel data and Seoul's floating population data.
Travel destination data is from 서울열린데이터광장(data.seoul.kr) and additional data was obtained by web crawling from Naver Place and Google Images. Seoul floating population dataset is from SKT Data Hub. Data time ranges from 14 September 2020 to 21 September 2020, and only 20's floating population was used for the service targets users in their 20's.
Our web application consists of eight pages and the main functions are travel recommendation, adding new places, leaving reviews, and getting up-to-date information of regional floating population. XAMPP(PHP and MySQL) was used for server development.
Demo_Video.3.mp4
- Database (CRUD)
- PHP Sessions
- Scraping Data by Using Python Libraries(Selenium, Webdriver)
- Client/Server Model
- XAMPP
- Front-end: HTML, CSS, Javascript
- Back-end: PHP, MySQL
- Data Extraction: Python
- ADD SOMETHING
- System Requirements
- System Design
- Database Schema
- Travel Destination Data: 서울열린데이터광장 (http://data.seoul.go.kr/dataList/OA-21050/S/1/datasetView.do)
- Travel Category of Travel Destination: Naver Map (https://map.naver.com/v5)
- Images of Travel Destination: Google Images
- Floating Population: SKT Data Hub (https://www.bigdatahub.co.kr/)
- Floating Charts: canvasJS (https://canvasjs.com/php-charts/line-chart/)
- Crawling: Python Selenium (https://selenium-python.readthedocs.io/)
- Service Description Paper: Details about each pages, table configuration, and system requirements.
/project_description
- Soomin Sohn
- JeongYoun Weon
Distributed under the Apache License 2.0. See LICENSE for more information.
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