darren277/arsmedicatech

AI Summary: Implement a simple regular expression check on email input fields within the ArsMedicaTech application to prevent invalid email addresses from being submitted. This will likely involve adding validation to the frontend React components and potentially backend Flask API validation as well.

AI Summary: Implement a file upload feature in a React frontend to allow users to upload PDF documents to an S3 bucket. The uploaded PDFs should be viewable within the application using an embedded PDF viewer (like pdf.js). Bonus points for adding OCR functionality using a third-party API.

AI Summary: Conduct a comprehensive accessibility audit of the ArsMedicaTech web application to determine its compliance with accessibility standards (e.g., WCAG). This involves testing the application's usability for users with disabilities, identifying accessibility barriers, and recommending solutions for improving accessibility.

AI Summary: Implement a language toggle (English/French) in the ArsMedicaTech application. This involves adding a language dropdown to the UI, using a library like `i18next`, and creating placeholder English and French JSON files for translations. The initial implementation will focus on the UI elements, with the backend integration to be addressed later.

AI Summary: This task requires adding visual indicators (badges or icons) to common diagnoses in the ArsMedicaTech application. These indicators will represent diagnosis categories like "Chronic" or "Infectious," based on ICD category prefixes (e.g., A00-B99). This involves mapping ICD codes to visual representations and integrating this functionality into the existing user interface.

AI Summary: Create a reusable React component that allows users to export data (e.g., treatment plans, LLM reports) as a styled PDF. This involves integrating a PDF generation library (like jsPDF or html2pdf) and designing a user-friendly button interface. The component should be adaptable to various data types and handle styling for a professional look.

AI Summary: Implement a dark mode toggle in the ArsMedicaTech application. This involves creating a settings toggle (likely in a settings panel), storing the user's preference (using localStorage and/or the user profile database), and applying the selected theme using CSS variables or Tailwind CSS's dark mode functionality.

AI Summary: Restyle the existing Intake Form UI component in the ArsMedicaTech application to improve its visual appeal. This involves making aesthetic changes based on a provided image showing the desired look. The task likely requires familiarity with CSS and the React framework.