Yizhen Liu's Projects
A SERN (SQL, Express.js, React.js, Node.js) application enabling students in the University of California, Irvine to gain analytic insights on graduate courses starting from Summer 2013 to Fall 2022.
A repository that contains the program to parse and store graduate class data into a SQLite database file from UC Irvine during Summer 2013 to Fall 2022.
My first React project attempting to clone ardentlabs.io. It mostly uses React.js and React Router to render the website.
A whiteboard with optional grids written in pure HTML, CSS, and JavaScript.
A real-time messaging application for one-on-one communication between students and staff members of Ardent Academy. Users can send full-duplex text messages and receive media files of any type such as JPEG, MP4, and PDF.
A simple embedded program written in C providing combination lock features such as single use passwords. Note that the password must be consisted of digits only.
This project implements a small search engine for a subset of ICS websites in the University of California, Irvine. It will create an index file for all the websites and allow users to find the websites they want based on their keywords. It is capable of handling tens of thousands of documents or Web pages under harsh operational constriants and having a query response time under 300ms.
A console simulation written in C++11 showcasing the concept of process and resource management.
A console simulation written in C++11 showcasing the concept of virtual memory.
A repository for my own portfolio written in pure HTML and CSS.
Personal notes for Introduction to Linux (LFS101x).
A Java EE web application with high scalability allowing customers to search and purchase over 20,000 movies with the response time under 500ms. It also allows employees to add new records for stars and movies through a XML file or a front end interface.
A small, simple calculator built with HTML, CSS and JavaScript.
Notify students in the University of California, Irvine (UCI) when the classes they want are open.
A small web application inspired by the COVID-19 outbreak to detect masks on the selected image.