Neuro ML - AI-Powered Alzheimer's Disease Risk Classifier

A comprehensive AI-powered web application for early Alzheimer's disease risk assessment. The system uses machine learning models (XGBoost, Random Forest) trained on clinical and neuroimaging data to predict disease risk with 94%+ accuracy. Features include: an interactive web interface built with Flask, explainable AI using SHAP visualizations to help doctors understand predictions, real-time risk scoring, and an integrated NeuroBot chatbot for patient guidance. The project follows MLOps best practices with modular code architecture, comprehensive testing, and deployment-ready configuration.