Problem Description

We need to create a web application that allows users to upload Figma files and receive UI design critique and feedback from AI. The app needs to have an intuitive and user-friendly interface, and be able to accurately analyze and provide valuable feedback on a user's design.

Acceptance Criteria

User Registration and Authentication: Users should be able to register and maintain an account in the system. They should be able to login, reset passwords, and perform other account management functions.

Figma File Upload: Users should be able to upload Figma files by simply copying and pasting their Figma project link into an input field.

AI Analysis and Feedback: The system should be able to analyze the uploaded Figma file and provide actionable UI design feedback. The feedback should be specific, clear, and helpful, and should be presented in a way that's easy for the user to understand.

Historical Analysis: Users should be able to view the history of their uploaded files and the corresponding feedback. They should be able to compare feedback over time to see their progress.

Performance: The system should be able to handle multiple Figma file uploads simultaneously and deliver feedback within a reasonable timeframe.

Security: All data should be encrypted and securely stored. The system should have measures in place to prevent unauthorized access to user data.

Technical Details

Frontend: The application will be built using Next.js for its server-side rendering abilities, and it will be styled with Tailwind CSS for its utility-first approach that allows for more customization and efficiency. This will ensure a fast and responsive user interface.

Backend: We will use Node.js for building the backend services.

AI model: A machine learning model will need to be trained to analyze Figma files and provide UI design feedback. This could be a complex task depending on the scope of feedback required. We'll need to train the model with a large dataset of good and bad design examples, and possibly incorporate Natural Language Processing (NLP) to generate human-like feedback.

Figma API: We will use the Figma API to interact with the Figma designs. Users will provide a link to their Figma design, and our backend service will fetch the design data directly from Figma using this API. This will allow us to retrieve, analyze, and provide feedback on the design elements.

Authentication: We'll use a service like Firebase or Auth0 for secure user authentication.

Database: A database will be needed to store user data, feedback, and historical analysis data. This could be a SQL or NoSQL database depending on the exact requirements and the expected scale of the app.

Deployment and Hosting: The application will be containerized using Docker and deployed on a cloud platform like AWS, Google Cloud, or Azure. We will use a CI/CD pipeline for efficient development and deployment process.

Testing: We will need to write unit tests, integration tests, and end-to-end tests to ensure the reliability and stability of the application.