Automated Brain Disease Diagnosis and Patient Support System

The "Automated Brain Disease Diagnosis and Patient Support System" is a web application that aids hospital administration in diagnosis of five classes of brain disorders: Alzheimer's Disease, Parkinson's Disease, Brain Tumor, Epilepsy, and Stroke. The application involves radiologists to upload the MRI scans for detection of brain diseases through a Convolutional Neural Network (CNN). After successful diagnosis, the system automatically generates detailed reports containing diagnosis results, supportive action measures, patient details, and recommends neuro-specialists for further consultation. A statistical visualization tool is also integrated to the system to identify trends in brain diseases diagnosed. Secure OTP based authentication is utilized to authenticate patient access, allowing them to access diagnosis reports and interact with an AI assistant for further queries. React.js is used in developing the front-end of the system, while the back-end is developed using Node.js, Express.js, and MongoDB for efficient data handling. For email automation and report generation several python libraries are used, and Streamlit (an open-source Python framework) is integrated for statistical data visualization. The proposed system aims to detect a broader spectrum of brain diseases with high accuracy and streamline patient support services, thereby contributing to improved healthcare outcomes.