Ji, RongjiaoTenente, FranciscoTamer, Frank Mohammed2025-02-252025-02-252024-01-262024-02-01http://hdl.handle.net/10362/179738This thesis explores AI's potential in enhancing design creativity, focusing on a machine learning platform that suggests visuals from keywords, using OpenAI and Meta models. It learns from interactions, encouraging exploration. Research compared image captioning models, identifying BLIP as superior for providing accurate, context-rich descriptions. The study shows AI's ability to bridge the gap between abstract ideas and visuals, promote exploration with relevant suggestions, and improve design tools with precise descriptions, underscoring the importance of collaboration and ongoing research in maximizing AI's impact in design.engImage captioningMachine learningNatural language processingKeyword suggestionText similaritymaster thesis203867319