Mobile AI‑Driven Dermatology Support for Animals

On‑Device Diagnostic Assistance for Livestock, Pets, and Wildlife Health

Our Mobile AI‑Driven Dermatology Support System brings advanced diagnostic intelligence directly to veterinarians, livestock managers, field researchers, and pet owners. Built as a lightweight mobile application powered by edge‑optimized machine‑learning models, the system analyzes skin conditions in animals using real‑time imaging, environmental context, and historical data. By combining high‑resolution mobile photography with embedded AI, the app identifies dermatological issues such as lesions, rashes, infections, parasites, dryness, inflammation, and abnormal growths. This allows users to detect early signs of disease, monitor progression, and make informed decisions without waiting for laboratory results or specialist availability.

The system is designed for field conditions where connectivity may be limited. All core diagnostic models run directly on the mobile device or on a compact edge module, ensuring fast, private, and reliable analysis. Users simply capture an image of the affected area, and the app provides a ranked list of possible conditions, confidence scores, and recommended next steps. Additional sensor inputs — such as temperature, humidity, soil moisture, or environmental dryness — can be integrated to improve diagnostic accuracy for livestock and wildlife exposed to harsh outdoor conditions. The app also supports structured data collection, enabling veterinarians and researchers to track cases over time, compare symptoms across herds or populations, and share reports securely with colleagues or cloud‑hosted systems.

Designed to be intuitive and accessible, the platform supports multiple species, including cattle, goats, sheep, horses, dogs, and wildlife under conservation monitoring. Its modular architecture allows new diagnostic categories to be added as models are trained, making it a scalable tool for both clinical and agricultural environments. By merging mobile imaging, edge AI, and environmental sensing, the system empowers users with rapid dermatological insights that improve animal health outcomes, reduce treatment delays, and strengthen disease‑management strategies across farms, clinics, and field operations..