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Design Document ‐ Frontend
Wayne Zhou edited this page Jun 16, 2024
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This design document outlines the design and architecture of the front-end application for the Case Management AI project.
The Case Management AI project is a cloud-based web application designed to assist caseworkers in managing client cases and providing personalized interventions and support services. The frontend application serves as the primary user interface for caseworkers to interact with the system.
- React: A JavaScript library/frame for building user interfaces.
- TypeScript/JavaScript: The primary programming language used for the frontend application.
- HTML5/CSS: A markup language for webpages and stylesheet for user interfaces.
The application follows a modular structure, with components organized into separate folders based on functionality.
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components: Reusable UI components (e.g., forms, tables, charts). -
pages: Representing different pages/views of the application (e.g., home, case management, prediction system). -
services: Utility functions and services for making API calls, data transformations, etc. -
store: store configuration and state management. -
styles: Global styles and theme definitions. -
utils: Shared utility functions.
- Component-Based Architecture: The application is built by React's component-based architecture, promoting code reusability and modularity.
- Single Responsibility: Components are designed to have a single responsibility, separating presentational and container components.
- Responsive Design: The application is designed to be responsive and accessible on different devices and screen sizes.
- Linting and Formatting: Consistent code style is enforced using ESLint and Prettier.
Example Interface: clearviction (GitHub)
- Intuitive and User-Friendly Interface: The user interface is designed to be intuitive and easy to use, with clear navigation and well-organized components.
- Responsive Design: The application is optimized for various devices and screen sizes, providing a consistent user experience across different platforms.
- Error Handling and Validation: error handling and validation mechanisms are implemented to provide a smooth user experience and prevent data entry errors.
- Encryption: Sensitive client data is encrypted at rest and in transit using industry-standard encryption protocols.
- Authentication and Authorization: The application implements a secure authentication and authorization system, with role-based access control for caseworkers and administrative users.
- Data Privacy: The application adheres to relevant data privacy regulations and best practices, ensuring the protection of client information.
- There will be two versions of the application: one for testing and one for actual use.
- The frontend application will be deployed and hosted on a cloud platform, preferably via Amazon Web Services(AWS).
(❗️ p.s. This front-end design document should be updated as the project evolves or new requirements emerge.)