AI-Powered Breast Cancer Classification using Deep Learning and Bard API for Early Diagnosis .

Breast cancer is one of the leading causes of mortality among women worldwide, emphasizing the need for early detection and accurate diagnosis. Traditional diagnostic methods, such as mammography and histopathological analysis, rely on manual interpretation by radiologists and pathologists, which can be time-consuming and prone to human error. In this study, we propose an AI-powered breast cancer classification system utilizing deep learning models and Bard API to automate the diagnostic process. The system processes medical images, applies preprocessing and feature extraction techniques, and classifies them into benign, malignant, or inconclusive categories. By leveraging advanced neural networks, the model can efficiently analyze large datasets, improving the accuracy and reliability of breast cancer diagnosis.