Details
2026
2026
Final year project at
Central Saint Martins
Edible-Object-Identifier is a food scanner that reveals what we don’t understand about modern ultra-processed food. It responds to the way ultra-processed food has disrupted our relationship with eating: food becomes easier to consume, but harder to recognise through its source, process, material quality and bodily effect. The project uses AI as a reflection tool to help us understand our own emotional relationship with what we eat, beyond what the ingredients label can tell us.
By intentionally creating unfamiliarity, the project sees this disruption as an opportunity to explore alternative ways of using AI. Unlike the usual human-AI interaction, it flips the dynamic so that the human is the one being interrogated instead of asking the questions. The machine approaches food through a lens of “naivety”, rather than “intelligence” - as though it had only just encountered modern food and needs to be constantly told what it is and the reasons for its consumption. The interaction hopes to prompt self-discovery, creating dedicated moments for putting your own meal into words and encouraging a more present and conscious way of eating.
A rack-and-gear mechanism translates the slider’s short movement into the larger vertical movement of the shade. This became the project’s organising idea: brightness is controlled by physically revealing or concealing light rather than electronically altering it.
January Lamp - A SAD Lamp Study
2025