In today’s emerging technological world an advanced dairy farming has become a necessity. The health of cattle plays a crucial role in defining the productivity of the dairy products. Also, a smaller disease of one animal from the herd can affect the schedule of the dairy farmer and also the surrounding cattle which consequently effects the animal’s productivity. On a larger scale the impact is very large and sometimes the loss is also very huge. Realizing the impact of cattle health on the dairy farming an innovative IoT-based ML model has been implemented that uses data collected from sensors to predict diseases in an early stage by processing the symptoms using machine learning algorithms which use supervised learning. The importance of prediction of disease in an early stage has greater significance in not only reducing the risk of diseases but also in empowering dairy farming by helping to make farmers the right decision at the right time. The primary motive is to provide right treatment to cattle and ensure quality milk production. Each animal in the cattle is monitored by unique identifier which offers a personalized attention and diagnosis, advancing the overall performance.