AI-Assisted Schedule Manager

A demo gif

In this project, we integrated software engineering, full-stack design, and database programming to create an innovative scheduling software with some additional features comparable to Microsoft To-Do. Our design encompassed both frontend and backend development.

One of the standout features of our application is its ability to manage schedules across various platforms, offering functionalities such as planning and reminders.

Central to our system is the use of large language models, which greatly enhance the intuitiveness and efficiency of user interactions, thereby streamlining the process of managing daily tasks and schedules.

Yufan Du
Yufan Du
Student of Peking University

My research interests include ML for EDA, hardware design and GPU accelaration.