Predicting Multiple Cancer Using Advanced Machine Learning Technique

Cancer diagnosis systems are transformative platforms for web users, providing hassle-free techniques for identifying early-stage cancer cells. We have developed a web portal specifically designed for cancer identification and prediction, focusing on Breast Cancer, Brain Cancer, and Lung Cancer. Utilizing advanced machine learning techniques, particularly Deep Neural Networks, we aim to deliver accurate results. To deploy the application on the web, we incorporated technologies such as Flask and Gradio, while front-end development was achieved using PHP to create a high-quality website. This site includes a comprehensive cancer knowledge base, informative videos, and e-books for patients, along with a chat application for consultations with doctors. Our models have demonstrated impressive accuracy rates: 96% for breast cancer, 95% for brain cancer, and 97% for lung cancer. We are continually exploring future enhancements to improve accuracy, performance, and stability. This paper details the entire system, along with the research results and product outcomes.