The Image Editing Chrome Extension is a google chrome extension that makes the images on whatever tab is active high-contrast. Rather than a normal image editing software, our extension does not require the image to be downloaded locally or uploaded onto a page.
Jupyter notebook - used for machine learning code
Python - Machine learning, server, alternate (previous iteration) high contrast script Javascript - High contrast script HTML, CSS - User Interface
Visual studio code - main IDE Github - used for sharing code Docker - used for making a docker image
When the extension is run currently, only the code within the extension folder is run. The code outside the extension folder is a work in progress and will be discussed more in the releases for the future section. Along with that, the contentScript.js and jquery.js files are also for the parts that we could not finish in time and thus do not currently add to the extension. The following files are marked with comments in the code to help the reader navigate through what we did:
index.html: this file holds our structure for the user interface styles.css: this file holds our styling for the user interface manifest.json: this file helps Google build our extension package.json: this file holds important information about the project (human metadata) contentScript2.js: this file makes the images on the website high-contrast after a button is clicked
To use the extension...
- Download the repository onto your computer as a ZIP and unzip the file.
- Open your web browser and go to settings. At the bottom of the left toolbar, there is a button that says Extensions. It will take you to the page where extensions can be uploaded.
- Click the Load Unpacked button
- Navigate to the extension folder in the Silver-Sonics folder you unzipped in step 1
- Upload the extension folder. Make sure it is the extension folder uploaded. Otherwise, there will be an error due to a missing manifest file
Navigating through the code, you'll notice many extra files and folders. This is because there are parts of the project we were unable to completely integrate into our extension in time for the 4/21/23 deadline but hope to include in the future. 
Originally, rather than having the high contrast script written in javascript and located as part of the extension, we planned to write the high contrast script and the machine learning algorithm in python. Then the server (written in python) would communicate with the image editing scripts and the extension which would only hold the user interface. This would also have allowed us to scale our product up and have more functions as we could store images in a database for later review or editing as well as edit the images in different ways to suit our co-designer's preferences more. As of now (4/20/23), we have the high contrast code written in python as well as our machine learning algorithm. We also have a local server and javascript code to connect the server to the extension.
Authors: Joie Yeung, Cassidy Xu, Audi Lin, Mimi Zhang
Acknowledgement: We want to thank our coach Chris for helping us through many problems and teaching us skills. We also want to thank Hosea, Shayna, Miriam, Claire, other mentors, and our peer review teams for taking the time to look at our project.