I’m a narrative-driven designer specialized in data visualization and branding.
I turn complex information into stories that are clear, engaging, and visually bold.
An exploration of AI’s emotional intelligence, using fine-tuned models, a chatbot, Suno API, and Raspberry Pi to sense emotions, associate them with colors, and express them through music and light—delivered as both a responsive conversational lamp with built-in speaker and projection, and an app/web platform for journaling and archival.
Our Momentone prototype runs on a Raspberry Pi, which powers the conversation and feeds it into our finetuned Gemini model. The model, trained to map emotions to colors and generate optimized music prompts, produces the text prompt. This is then sent to the Suno API to generate music.
02 - Chat to Prompt Sentiment Analysis:
✿ Emotion
✿ Energy Level
✿ Themes
03 - Music & Visuals Create dynamic visual with p5.js:
✿ Dominant color
✿ Map Energy Level to Motion
✿ SunoAPI creates a 30 seconds track
04 - Physical Attributes Live response from a lamp ✿ RasP controls the lamp
✿ Acts as a CPU to process all the data
INSPIRATION Sho Shibuya paints over the news with the everyday beauty of nature, later confronting it directly to explore his own emotions and reactions to the daily onslaught of stories—sad, happy, and always immediate. Inspired by this approach, we drew on The Pudding’s Emotion Wheelto train our model to recognize and express complex feelings—sometimes even those we struggle to name ourselves—through music and color.