Published Paper Details:

The purpose of this paper is to develop and evaluate a breast cancer prediction system using Convolutional Neural Networks (CNN) and Support Vector Machines (SVM). Within the wake of a breast cancer diagnosis, the project presents a comprehensive web-based platform created to meet the interrelated demands of administrators, healthcare providers, and patients. Patients are empowered to contribute to their healthcare journey by seamlessly uploading mammographic images. Through the integration of AI-driven algorithms, including CNN and SVM, the system predicts whether an individual has breast cancer or not can be determined by using the features that were taken from the images. For patients, a dedicated dashboard provides insights into diagnostic results, alongside some precautions. This paper examines the intricate integration of CNN and SVM algorithms, alongside patient- centric features and administrative controls, highlighting the potential impact on enhancing breast cancer diagnosis accessibility, efficiency, and overall user experience.