This project poses a solution to benefit both healthcare providers and patients by completely automating mundane vision tests.

• Snell Chart Test - this is a variation of the test typically administered at an annual physical to measure visual acuity. The test uses pose detection to ensure the patient is the right distance away from the chart, then allows the user to spell out the letters they can read (currently in progress).
• Dry Eye Evaluation - a dry eye diagnosis is expensive, time-consuming, and difficult to do (especially if a patient doesn't have a dedicated optometrist). This evaluation attempts to target the source of the problem for most patients: screens. This prompts a user to read a text while capturing eye movement data to detect how frequently the user is blinking (using AI). Blinking less often suggests that a user may have dry eyes.

Data is saved and operations are performed entirely locally, excluding voice detection. After saving this folder:

1. Install NodeJS.
2. Run npm install. This will install the packages necessary for running this code.
3. Run npm start. This will start the server, which can be accessed at http://localhost:8080.
4. Access the model! Important to note: make sure to have permissions enabled for microphone and webcam access (this may need to be performed manually)!