According to formal studies, it has been concluded that BC is one of the foremost common cancers which is diagnosed particularly in women, BC can affect both men and women, but it is more commonly diagnosed in women.Around 14.7% of cases of Breast Cancer are found in India. Many pieces of research are conducted from time to time for early detection of BC, which can save lives and help in the timely diagnosis of the disease and the patient can get possible treatment sooner. But It has been found that only 86% of them are diagnosed correctly. Biopsy used to detect Cancer contains several shortcomings such as it carries a small risk of bleeding or infection or may cause false defection of disease Hence, the need for a new alternative method arises that is easy to implement, less risky, rble, safer, cost more effective and can predict more accurate results. The model proposed in the paper is a combination of the Artificial Neural network K-meest neighbor Decision Support Vector Machine Decision tree