Radu-Ionuț Costin (UTCN) pitched DermSpectra, an AI application that provides skin insight from a single photo.
The problem
People notice changes in their skin, but often do not know when to act. With over 1.5 million skin cancer cases diagnosed each year, knowing when to seek a consultation matters. Dermatology appointments can be slow, expensive or hard to access — waiting times to see a dermatologist in Europe typically range from 3 to 12 weeks. Meanwhile, skin photos stay in the gallery without comparison, reminders or follow-up.
The vision
DermSpectra turns the smartphone camera into a longitudinal skin monitoring tool. The user photographs an area of skin; the AI compares it against previous photos and against learned representations of dermatological conditions to assess change over time and to highlight whether the change warrants attention from a specialist.
What the pitch covered
The agenda for DermSpectra's pitch covered: problem framing, vision, the "why now" question on technological maturity, the proposed solution, the product experience, the market opportunity, the business model, competition and defensible advantages (moat), traction and validation to date, and the proposed use of funds for the next development phase.
While the application sits outside the immediate scope of smart agriculture, it reflects the same broader research theme — using AI on images captured by everyday devices to democratise access to expert-level analysis.
Presentation slides
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