AI-Powered Skin Rash Detector
Overview
A mobile-first AI solution that enables instant skin rash analysis and preliminary diagnosis through advanced computer vision and machine learning algorithms. The platform provides immediate identification of common skin conditions, personalized treatment recommendations, and seamless connection to dermatologists when needed.

Problem
- 25% of the global population suffers from skin conditions annually
- Average wait time to see a dermatologist is 32-35 days in developed countries
- Misdiagnosis in primary care settings leads to delayed proper treatment
- Limited access to specialized dermatological care in rural and underserved areas
- High cost of in-person dermatology consultations ($150-$300 per visit)
Solution
An integrated platform that provides:
- Real-time analysis of skin conditions through smartphone photos
- AI-powered preliminary diagnosis with 70% accuracy for common conditions
- Personalized treatment recommendations based on condition severity and patient history
- Teledermatology integration for complex cases
- Continuous monitoring and progress tracking
- Educational content for preventive care and condition management
Key Impact

Reduces diagnosis time from weeks to minutes

Decreases unnecessary specialist visits by 60%

Increases access to skin care expertise in rural areas

Enables early detection and treatment of potentially serious conditions

Improves treatment adherence through progress tracking

Facilitates better communication between patients and healthcare providers


Ideal Customer Profile (ICP)
Primary Market: Healthcare Providers
Size
230,000+ primary care practices in the US
Annual Revenue
$5M-$50M annual revenue per practice
Budget Owner
Medical Director/Practice Manager
Volume
500+ patient visits monthly
Technology Maturity
Medium to High
Key Decision Makers
- Chief Medical Officer
- IT Director
- Practice Manager