Crafticulate bridges the embodied knowledge of pottery-making with machine learning and gesture recognition. Using real-time AI-driven hand tracking, the project transforms traditional crafting gestures into a living, evolving archive. Inspired by Click, Create, Connect, Crafticulate invites users to perform, record, and explore the subtle language of hands that shape vessels and stories alike. Each gesture becomes both a digital artifact and a point of connection across time, technique, and culture. As users interact, they expand the dataset, training the system to better recognize and honor the nuances of craft. Crafticulate reimagines preservation as an active dialogue between human memory and machine interpretation, celebrating the resilience and fragility of intangible heritage. It asks: What if we could teach machines to remember not just images or words, but the feeling of making? In doing so, Crafticulate transforms gestures into living threads of collective memory.
