Abstract - Early detection of diseases in livestock is critical for ensuring animal health, maintaining productivity, and minimizing financial losses. This study aimed at the development of an image processing-based approach embedded into a Django web application for the early diagnosis of cattle disease. It is a user-friendly interface through which users upload their livestock photos and the trained model undertakes processing on these images and disease prediction. It returns disease name, confidence percentage, treatment, and prevention suggestions. This proposed system is to help farmers and veterinarians to take an informed and timely decision.