• Pretty Pramod Kotian
• Snehal Babar
• Muskan Altaf Shaikh
• Aishwarya Ningdali

Breast cancer starts in the breast cell. It is a cancerous tumor where cancer cells grow and destroy nearby tissue. It was estimated in 2019 that 270,000 new breast cancer cases were diagnosed which is an alarming rise of cancer in women every year. With the advances of computer technology, we can save a life from cancer at an earlier stage. Hence, we have built the software with the help of machine learning to analyze breast cells before it gets fatal. This project aims to use machine learning algorithms and techniques to detect breast cancer and also do the prediction with Random Forest, KNN (k-Nearest-Neighbor) and Support Vector Machine algorithm. The Breast Cancer Wisconsin original dataset is used as a training set to compare the performance of the various machine learning techniques in terms of key parameters such as accuracy, and precision. We will perform data visualization in the form of graphs like histograms, boxplots and also study the correlation between each attribute. In the end, we will develop a classification report and confusion matrix to predict whether the dataset is benign or malignant breast cancer for every machine learning algorithm . Cloud Computing is a recently emerged model that is becoming popular among almost all enterprises. Cloud computing can also be described as the network that enables the distribution of processing, application, storage capabilities among many remote located computer systems. In cloud computing platforms plenty of IT resources are utilized and released as per the user requirement by using the internet. As the work tends to increase the awareness about the use of cloud computing in the medical field about storing of the data and the extent in using cloud computing in the medical field. This paper will provide the review of security research in the field of cloud usage. After research we have presented the working of AWS (Amazon Web Service) cloud computing to unite with Machine learning to produce amazing results in the field of medical. AWS is considered to be the most trusted provider of cloud computing by many users as they not only provide excellent cloud security but also provide excellent cloud services. Here we will summarize services provided by AWS that will help to choose the suitable features which will fulfill the long term requirements of the users.

Breast Cancer, Machine learning, Prediction, KNN and SVM, Cloud Computing, AWS(Amazon Web Service), Amazon EC2 instance.

"BREAST CANCER DETECTION USING MACHINE LEARNING AND AWS(Amazon Web Service)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.f300-f311, April-2022, Available :http://www.jetir.org/papers/JETIR2204540.pdf

"BREAST CANCER DETECTION USING MACHINE LEARNING AND AWS(Amazon Web Service)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppf300-f311, April-2022, Available at : http://www.jetir.org/papers/JETIR2204540.pdf