What is Rash Detector?

Rash Detector is an AI‑driven skin analysis app that lets users upload three clear photos of a rash from different angles. The system uses computer vision to identify possible conditions, assign a confidence score, and provide a risk assessment with recommended next steps.

The generated report includes a plain‑language summary of texture, color, and patterns, a list of detected abnormalities, and evidence‑based information on causes and treatments. Users can view, share, or compare time‑stamped reports to monitor changes over time.

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Rash Detector's key features

Upload three rash photos
Instant AI analysis report
Confidence score and risk assessment
Secure cloud encryption
Track progress over time
Compare new scans to previous
Real‑time personalized recommendations

Rash Detector use cases

Enable primary care clinicians to quickly triage patients by uploading rash photos, receiving a confidence‑rated risk score and recommended next steps without needing to schedule an in‑person exam
Allow dermatology patients to monitor chronic skin conditions at home, uploading periodic photos to track progression and adjust treatments based on AI‑generated trend reports
Provide telehealth platforms with secure, automated rash assessment that feeds into electronic health records, ensuring accurate documentation and reducing diagnostic errors