Companies have begun to incorporate generative AI models with CAD drawings, design specifications, simulation data, and other information in order to improve design efficiency and accelerate innovation in response to the increasing competition in the commercial sector and volatile consumer demand. This facilitates the rapid generation of initial design drawings or concepts, reduces the length of product development timelines, and maintains the brand's essence.
At the "2025 AI Wave: Taiwan Generative AI Applications Hackathon," "Famous on the Board" (a team name referencing PC hardware culture)
unveiled an AI-assisted PC case design platform that addresses user pain points to achieve three objectives: "expediting the design cycle," "maintaining brand consistency," and "enhancing innovation efficiency and diversity of inspiration." This innovative platform combines image generation technology and natural language processing to convert user-defined requirements into structured specifications. This encompasses color, style, shape, material, ventilation, lighting, features, environment, and more, and it delivers high-quality rendered images in real time.
The platform reduces communication disparities within the development team, enhances interactivity through real-time previews, enables version management for process traceability and restoration, and supports multiple models to increase rendering flexibility, thereby further alleviating the workload. Furthermore, it received recognition from the jury of Cooler Master's "PC DIY Innovation" category and was granted the Excellence Award.
Famous on the Board wins Excellence Award with their AI-powered PC case design platform that blends speed, creativity, and brand identity. Credit: Company
Driving inspiration diversity and enhancing innovation efficiency
The "Famous on the Board" solution is distinguished by its ability to automatically document each attribute modification and rendering outcome, generate a visual design process timeline, and allow users to generate a PC case design from inception through the inspiration generation module. This allows users to scrutinize and trace discrepancies among multiple versions, enabling them to immediately revert to any historical version for iteration and optimization with a single click.
The design of platform functions prioritizes fundamental features such as inspiration discovery, market trend analysis, design prompt generating, version control, and project collaboration management. A machine learning-generated database includes six key attribute databases essential for PC case design: design style, case material, color style, distinctive design, presentation form, and background atmosphere, helping designers rapidly produce design drafts that align with brand positioning.
The AI-assisted PC case design platform employs Amazon Nova Pro, Anthropic Claude 3.7 Sonnet, Amazon Nova Canvas, and Stability AI's Stable Image Core on Amazon Bedrock, a fully managed service that makes high-performing foundation models from Amazon Web Services (AWS). It simultaneously supports natural language processing and creative image generation capabilities, thereby augmenting the intelligence and automation of the design process. React and TypeScript are employed in front-end development, complemented by Tailwind CSS to build a responsive user interface that supports internationalization (i18n). The backend architecture utilizes FastAPI and PostgreSQL 17.4 to guarantee data processing efficiency and reliability, while accommodating extensive asynchronous workloads.
"Famous on the Board" concluded that the essence of its success is rooted in the team's diverse composition. The team comprises development engineers with technical expertise and individuals from various sectors, particularly the gaming industry, each providing distinct perspectives on the application and conceptualization of AI. The challenging work was completed in under 30 hours through collaborative brainstorming and idea exchange, garnering unanimous recognition from the jury for the team's technical expertise, creativity, and degree of completion.
Article edited by Sherri Wang