
썸네일 연구를 위한 설문조사 및 결과 분석 시스템을 개발하였습니다.
The project is a development summary of a research study on "Thumbnail Visualization" conducted for a graduate program. The study utilized Amazon Mechanical Turk for user studies. The experiment pages were implemented and the results were stored in a sqlite3 database using the Django framework. A Vue.js dashboard was created to display real-time visualizations of the experiment results and statistics. The project was developed between February 2019 and June 2019 by a team of 2 members, with the development leader responsible for overseeing the project. The tech stack used includes HTML, Vue.js, Python-Django, and sqlite3.
The project is a development summary of a research study on Thumbnail Visualization. It includes the implementation of experiment pages, storage of results in a sqlite3 database, and real-time visualization of experiment results through a Vue.js dashboard. The project was developed using HTML, Vue.js, Python-Django, and sqlite3. To install and run the project, clone the repository, install the dependencies, and set up the Django server.
