Addressing the significant concern of ensuring the health of beloved pets, especially dogs, we propose PAWnnect—an IoT-based dog monitoring platform. Traditional methods of relying solely on veterinary experts for health evaluations can lead to delayed treatment and deterioration of animal health. PAWnnect utilizes a GPS-enabled dog collar, integrating GPS tracking technology with Wi-Fi or cellular data, enabling owners to monitor their dog's location and health through a mobile application. Dogs, as cherished companions, are susceptible to various skin diseases that can cause discomfort, pain, and potential transmission to humans. Early detection and treatment are crucial for the well-being of both dogs and humans. Our project aims to expedite the process of identifying different skin diseases in dogs through a swift and precise method. To achieve this, a proposed solution to implement a machine-learning model, specifically using InceptionV3, with the goal of reducing the time and expertise required for accurate and consistent diagnosis has been discussed further.