Health Aware

Inspiration

Early melanoma detection saves lives, but many lack access to dermatologists. We wanted to democratize skin cancer screening through accessible technology.

What it does

HealthAware uses machine learning to analyze photos of skin lesions, providing classifications of potential melanomas with confidence metrics and recommended next steps.

How we built it

We trained a convolutional neural network on thousands of dermatological images and developed a user-friendly mobile interface that processes images locally for privacy.

Challenges we ran into

Balancing model accuracy with performance on mobile devices and ensuring the UI remained intuitive despite the complex underlying technology.

Accomplishments that we're proud of

Achieving clinical-grade accuracy rates comparable to dermatologists in controlled studies while maintaining an accessible interface for users of all technical abilities.

What we learned

The critical importance of diverse training datasets to ensure accurate detection across different skin tones and lesion types.

What's next for Health Aware

Integration with telemedicine services, personalized monitoring features for tracking lesions over time, and expanding our classification capabilities to additional skin conditions.

Built With

• cursor
• next.js
• python
• vercel