Generative AI and Design Thinking for Lumpy Skin Disease Prediction using Machine Learning

The Capripox virus is responsible for the Lumpy Skin Disease (LSD) that infects cattle and is transmitted by biting insects such as flies and mosquitoes. It creates skin nodules, fever and a general feeling of malaise that has a significant impact on the health and productivity of livestock. The illness leads to breeding issues, poor quality meat and reduced milking for the cattle, and in the most extreme cases, fatalities among humans, leading to substantial financial damages in cattle-raising regions. It is in fact difficult to control LSD due to its” propensity for spreading rapidly and dependence on classical diagnosing methods such as clinical observation and symptom evaluation. These procedures can be inaccurate, however, because LSD symptoms can mimic those of other cattle diseases, causing delays in the administration of treatment. In this study, an AIbased diagnostic system employing image classification and ML is suggested to address these challenges. Based on a multi-modal database integrating the clinical features (e.g., fever and the size of lesions) and the images of affected skin regions, the system automatically and standardly diagnoses the disease. Early and accurate diagnosis not only prevents misdiagnosis and halts the spread of the disease, but also strengthens intervention capacity. Diminished economic losses, enhanced animal health and long-term industry sustainability are all conceivable future benefits.