Rash Detector is an AI-powered skin issue identification app and web tool designed to help users quickly understand a rash or skin problem. Its core workflow is simple: after logging in, upload three photos from different angles (even lighting gives better results), and the AI returns an analysis report. The report includes: detected abnormalities (listed and ranked item by item), the most likely condition and confidence level (e.g., "skin tag – 80% confidence"), evidence-based condition information (possible causes, prevention, what is normal), a risk assessment with a color scale by urgency (low, medium, high) and typical next steps, and a plain-language summary of texture, color, and visible patterns, along with an important disclaimer.
In addition to the standard report, users can add a symptom questionnaire (multiple choice) and free-text notes (such as sensations, suspected triggers, measures already tried), and the AI will additionally generate symptom analysis, trigger analysis, recommendations, when to seek medical care, and lifestyle tips, making the report richer.
The tool supports follow-up chat based on historical reports (RAG approach), allowing users to ask about meanings, compare reports, or attach new photos for a quick second opinion, with answers explained in plain language. The analysis panel lets users view conditions over time, risk distribution, an activity timeline, and personalized recommendations to help identify patterns.
In terms of usage, users log in via Google or Apple, and new users need to complete a 30-second profile to customize the analysis. The platform covers web and Android, with shared accounts and synchronized reports. Regarding privacy, data is encrypted during transmission and storage, and reports can be deleted at any time. The tool is intended for users who want a quick preliminary analysis of skin issues and to track trends, but it clearly states the limitations of AI analysis and that it cannot replace professional medical diagnosis.