Design language multiplier

The traditional design process is changing, and the recent development in AI is quickly becoming a strong and useful tool in creative areas like industrial design. This project focuses on using AI as a multiplier for design languages to apply defined design principles to different vacuum architectures. In collaboration with Tatic Designstudio, we explored and evaluated the usage of AI as a tool for collection development. I created a design language to a vacuum and trained an AI model to apply these rules across a range of different vacuum cleaner architectures. Around 1200 images were generated based on three trained models, but the resulting AI models are currently working as iterative concept spitting machines, rather than design language multipliers. Through all of the generated images, there were favorites that fit the design theme and properly transferred the design principles. Curating different parts that match the design theme with image editing softwares, allowed the ability to create an entire concept family of four coherent vacuums. However, when it comes to new product lines and having the limitation of no prior data to train AI with, maybe it's more worth to make use of competent designers because this tool is as of now, using this method, incapable of recognizing the patterns to be able to multiply it in an reliable way. That's why the creative mind of the designers is needed to curate the outputs from the AI, and instead use the quick generative power as an iterative, idea generating tool rather than an autonomous design solution.