Skinalor: an Offline, On-Device Dermatology Triage Assistant 📱 Workflow: Photo + description → 2–3 likely conditions → smart follow-up questions → one-tap PDF visit report.
🔥 Project Goal: For many skin concerns, the most time-consuming part of a consultation is “unclear descriptions + missing key questions.” This system organizes essential pre-visit information to save doctor–patient communication time and support triage.
🎬 Full video demo (real mobile on-device inference results):
Upload a skin photo + enter a text description of symptoms
An on-device medical multimodal model runs inference and outputs 2–3 likely condition names (Top predictions)
Based on each predicted condition, the system automatically generates customized follow-up questions (e.g., duration, itching/pain, triggers, changes in location/appearance, etc.)
After the user answers each question, the system summarizes everything: case summary + predicted results + follow-up Q&A
Export a PDF diagnosis/triage report with one tap, ready for in-person visits or online consultations
✨ Highlights:
Bilingual support (Chinese & English)
Offline on-device: minimizes uploads and network dependency, more privacy-friendly
Structured output: turns “fragmented info” into clear bullet points that doctors can scan quickly
Traceable loop: question → answer → summary, making communication more efficient
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