The purpose of this prototype is to gain an understanding of what level of flexibility is offered to students in courses, due to the lack of aggregate knowledge and dataset of syllabi. This prototype analyzes syllabi using machine learning to determine the flexibility of courses, and displays the results on a dashboard. For more information visit the CIC Website.
| Index | Description |
|---|---|
| High Level Architecture | High level overview illustrating component interactions |
| Deployment | How to deploy the project |
| User Guide | The working solution |
| Changelog | Any changes post publish |
| Credits | Meet the team behind the solution |
| License | License details |
The following architecture diagram illustrates the various AWS components utilized to deliver the solution. For an in-depth explanation of the frontend and backend stacks, refer to the Architecture Design.
To deploy this solution, please follow the steps laid out in the Deployment Guide
For instructions on how to navigate the web app interface, refer to the Web App User Guide.
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This application was architected and developed by Harshinee Sriram, Tien Nguyen, Visal Saosuo and Liam Driscoll, with project assistance by Sophie Mok. A special thanks to the UBC Cloud Innovation Centre Technical and Project Management teams for their guidance and support.
This project is distributed under the MIT License.