Brain Disease Detection Using AI

Abstract: This innovative project aims to transform the landscape of early medical diagnosis by leveraging advanced deep learning techniques for the accurate prediction of neurological disorders. The initial phase focused on developing a Convolutional Neural Network (CNN) model capable of classifying brain tumor, brain stroke, and Alzheimer’s disease using preprocessed medical imaging data. Building upon this foundation, the second phase enhances the model's diagnostic precision through improved data augmentation, model optimization, and inclusion of temporal analysis for progressive diseases. A robust evaluation module has been integrated, enabling the system to generate detailed diagnostic reports and probability-based predictions, supporting healthcare professionals in early and reliable detection. Additionally, a user-friendly interface has been developed for clinicians to upload brain scan images and receive real-time results. The project also explores integration with cloud platforms to ensure scalability and remote accessibility. This system has the potential to revolutionize early-stage neurological screening and assist in timely medical intervention, ultimately contributing to improved patient outcomes