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A privacy-first, AI-driven medical intake system built on a scalable microservices architecture. Decouples LLM-driven generative conversational flows from a strict, rules-based safety Red Flag Detector.

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Medical Questionnaire Generator

Info here.

Trello(for professor) here

1.Team

2.Work

2.1 Laboratory 1

✅ Build teams, find research coordinator and identify the theme of the project.

2.2 Laboratory 2

✅ Configure Github or Bitbucket or ... and Trello or ... for each project appropriate to master page from which you belong. Use meaningful names for the project and the steps you take. The results for themes from Lab 2 must be added on portal. Specify what everyone does in a separate file type “.txt”. Also create a file with following information: project name, members names, the coordinator, contact information, etc..

✅ On the theme set by the scientific coordinator you make the state-of-the-art (a document (1/2 pages per team member), which to put on GoogleDocs/GitHub/Bitbucket/etc., in English with):

  • What did the others do, techniques and methodologies used, evaluation methods, results
  • Important names in the field, research teams
  • Related Articles and Books
  • Relevant Links
  • Resources and Tools available.

About

A privacy-first, AI-driven medical intake system built on a scalable microservices architecture. Decouples LLM-driven generative conversational flows from a strict, rules-based safety Red Flag Detector.

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