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@hoangsonww hoangsonww requested a review from Copilot June 7, 2025 04:21
@hoangsonww hoangsonww self-assigned this Jun 7, 2025
@hoangsonww hoangsonww added the documentation Improvements or additions to documentation label Jun 7, 2025
@hoangsonww hoangsonww merged commit a89c5b5 into main Jun 7, 2025
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Pull Request Overview

This PR updates the README to reflect broader device support, refocuses the questionnaire on CRC case judgments, and specifies the backend tech stack.

  • Switched device target from tablets to any device
  • Clarified that participants answer judgments for potential CRC cases
  • Added Flask/Python as the backend API implementation

# The AugMed App (Backend API)

AugMed is a web application, built for the UNC-Chapel Hill DHEP Lab, that allows the lab to collect data from participants in a user-friendly way. The app is designed to be used on a tablet, and it allows participants to answer questions about their health and well-being. The app is built using React, and it uses the DHEP Lab's API to store and retrieve data.
AugMed is a web application, built for the UNC-Chapel Hill DHEP Lab, that allows the lab to collect data from participants in a user-friendly way. The app is designed to be used on any devices, and it allows participants to answer questions about their judgements for cases with potential Colorectal Cancer (CRC). The app is built using React, and the backend API is built using Flask and Python.
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Consider changing “any devices” to “any device” for grammatical correctness.

Suggested change
AugMed is a web application, built for the UNC-Chapel Hill DHEP Lab, that allows the lab to collect data from participants in a user-friendly way. The app is designed to be used on any devices, and it allows participants to answer questions about their judgements for cases with potential Colorectal Cancer (CRC). The app is built using React, and the backend API is built using Flask and Python.
AugMed is a web application, built for the UNC-Chapel Hill DHEP Lab, that allows the lab to collect data from participants in a user-friendly way. The app is designed to be used on any device, and it allows participants to answer questions about their judgements for cases with potential Colorectal Cancer (CRC). The app is built using React, and the backend API is built using Flask and Python.

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