Settlement Recommendation System
귀농 정착지 추천 서비스
Development Period Jul 2018 – Aug 2018
Used Languages & Tools Python, Excel, Oracle Database, Javascript & HTML
Used Skills & Technologies Web Crawling, Multiple Linear Regression, K-means Clustering, API Requests
Description
From 2010s, a movement in Korean society called ‘return-to-farming(귀농)’ – a tendency to spend the life after retirement in rural areas, rather than metropolis like Seoul – has become a major social trend among retired baby-boomers.
This program is a system to recommend the suitable area for return-to-farming among the 138 provinces nationwide based on the user’s preference to help a successful settlements selection. For developing the system, 29 characteristics including the level of income, popular transportation, and educational facilities for each cities are collected through web scraping, while multiple regression and K-means clustering are used as analyzing tools.
For more information, please click here (Written in Korean)
Yonsei Financial Leaders Official Website
YFL 공식 웹사이트
Development Period Jul 2017 – Aug 2017
Used Languages & Tools HTML, CSS, PHP, WordPress
Used Skills & Technologies Web Programming, Server Hosting, Web Design & Publishing
Description
Yonsei Financial Leaders (YFL) is a finance track in Yonsei University, where I had acted as a team leader for 1 year and feel proud of being participated in. The new official website of YFL is the result of my dedication and affection toward the club in an attempt to contribute to the club with my own ability.
Using WordPress as a base web framework, the website was customized with the use of CSS and PHP. Third party libraries such as Mang board and Ultimate members are also utilized.
Please click here to visit the website.
Cryptocurrency Trade System
암호화폐 거래 시스템
Development Period Nov 2017 – Jan 2018
Used Languages & Tools Python, Excel VBA
Used Skills & Technologies Web Crawling, API Requests
Description
Cryptocurrency trade system is launched to buy and sell cryptocurrencies automatically when a certain condition is met in the market. While Python APIs are widely used as a backbone structure, web scraping is used instead in case APIs are not applicable.
The system also provides a function to organize end-of-day transaction information through Excel VBA.