The document discusses an IOT-based system to measure steroid levels in milk products. It aims to address the issue of dairy farmers illegally injecting large amounts of steroids into cattle to increase milk production, which can harm human health. The proposed system uses sensors to analyze steroid levels in cattle and milk at various stages, and indicates which organs may be affected based on the chemicals detected. It analyzes the data using machine learning algorithms and displays the results through a graphical interface. The system aims to more accurately detect illegal steroid usage and protect consumer health.