Abstract
The present disclosure discloses a system and method for providing design recommendations to a user. The method includes parsing the one or more design images of SVG format and analyzing the text and shape parameters associated with the one or more design images. Further the method includes generating python data frames with text identifiers, shape identifiers and connecting component identifiers and generating, by the connecting shape generator, component graph from the trained design images. Further the method includes loading trained component graph from the connecting shape generator and calculating shortest paths from node to be predicted to all other nodes in the component graph. Furthermore, the method includes obtaining K nearest nodes in the component graph and determining the most common node among the K nearest nodes as the predicted node. Subsequently the system creates SVG XML image from the determined predicted node as text value and with geometric shape. Finally, the system prompts the predicted connecting component image in the integrated tools side bar of the user device.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Shetty, Prajna; Roy, Alok; Raj, Satyam; and Varshini, Kandikatla, "ARTIFICIAL INTELLIGENCE BASED INTER IMAGE DESIGN RECOMMENDATION", Technical Disclosure Commons, (July 04, 2024)
https://www.tdcommons.org/dpubs_series/7162