NeuroScanCare: Intelligent Brain Tumor Detection With Integrated Medical Support

Brain tumors represent a critical medical condition requiring prompt diagnosis and immediate access to specialized healthcare facilities. This research presents NeuroScanCare, an innovative integrated platform that combines artificial intelligence-based medical imaging analysis with intelligent healthcare navigation services. The system employs a custom-designed Convolutional Neural Network (CNN) architecture featuring three convolutional layers, maxpooling operations, and dropout regularization to analyze uploaded MRI scans. Through comprehensive model evaluation, our custom CNN achieved superior performance with 84% classification accuracy, outperforming established architectures including VGG16 (80%), ResNet50 (78%), and InceptionV3 (70%). The model successfully categorizes brain scans into four distinct classifications: Glioma, Pituitary tumors, Meningioma, and non-tumor cases. Upon tumor detection, the platform automatically activates its location-based recommendation engine utilizing the Geolocation API to determine user coordinates. The system implements the Haversine formula for precise distance calculations, identifying the five nearest healthcare facilities from the patient's current position. Each recommended hospital is presented with comprehensive details including specialization areas, patient ratings, supported insurance plans, contact information, and visual mapping integration. The application leverages Flask framework for backend operations, HTML/CSS/JavaScript for user interface design, and Google Maps API for navigation services with multiple transportation options. Pandas library manages hospital database operations through CSV file handling. NeuroScanCare bridges the gap between advanced medical diagnosis and accessible healthcare delivery, providing patients with immediate diagnostic insights coupled with actionable healthcare facility recommendations, ultimately enhancing clinical outcomes through timely medical intervention.