Asclepius
A skin cancer detection application leveraging on-device machine learning with TensorFlow Lite for real-time image classification.
About Asclepius
Asclepius is a skin cancer detection application that brings machine learning to the edge with on-device inference using TensorFlow Lite. The app enables users to capture or select skin images and receive instant classification results, demonstrating the power of mobile ML for healthcare applications.
The application integrates a pre-trained TensorFlow Lite model optimized for mobile deployment, ensuring fast inference times without requiring network connectivity. This approach prioritizes user privacy by keeping sensitive medical images on-device.
Asclepius represents the intersection of mobile development and machine learning, showcasing how Android developers can leverage ML Kit and TensorFlow Lite to build intelligent applications that make a real-world impact in healthcare accessibility.
Key Features
- On-device skin cancer image classification
- TensorFlow Lite model integration
- Camera and gallery image input
- Real-time inference results
- No network required for classification
- Privacy-first approach (on-device processing)
- Clean and accessible UI
- Healthcare-focused mobile ML application
