An AI-supported system that pairs biometric sensing with intuitive UX to detect risks early and personalize preventative care for rescue dogs.
Focus
Project Type
Year
Problem Exploration
Rescue dogs often enter shelters or homes with no reliable medical history and may hide pain or illness, making early detection of health issues difficult. Care is usually shared across shelters, fosters, and adopters, yet information rarely follows the dog. This results in fragmented care and preventable health complications that disproportionately affect rescue animals. Existing pet wearables assume a collar-always-on lifestyle, which is not the reality for many rescue dogs who may not tolerate devices, remove them indoors, or cycle through multiple environments.
Rescues need proactive support, but caregivers often lack resources, clinical insight, and consistent vet access.
Wearable Concept Exploration
Different rescue dogs tolerate different types of wear so I explored multiple sensing formats to ensure accessibility, comfort, and adaptability across shelters, fosters, and adopters.
Microchip Concept
Harness Concept
Clip-on Sensor Concept




