Multi-Modal Data Processors — Data Processing

This project is an artificial intelligence-powered frontend generator that translates visual design inputs into functional source code. It functions as a workflow engine that interprets graphical user interfaces, mapping layout structures and styling rules to structured markup and programming language syntax. The tool distinguishes itself by supporting both static design mockups and dynamic video recordings. It processes temporal and spatial information from screen captures to reconstruct interaction flows and state transitions, enabling the creation of functional software prototypes from visual design intent. To ensure the generated output adheres to standard development patterns, the system utilizes abstract syntax tree generation during the synthesis process. The platform relies on external intelligence services to perform complex visual analysis and code generation tasks. It is distributed as a containerized environment, which bundles all application services and dependencies to maintain consistent execution across local development machines and production infrastructure.