The app uses a machine learning model called LSTM (Long Short-Term Memory) to analyze incoming data over time. It compares real-time data to your personal baseline, detects subtle patterns leading up to a migraine, filters out normal changes (stress, movement, light exposure), and continuously improves accuracy with use. This allows AuraLens to deliver personalized, real-time migraine predictions. When early warning signs are detected, the app sends instant alerts to your phone, recommends preventative actions (medication, rest, low-light environment), and allows users to log symptoms and triggers. Over time, the system becomes more accurate, helping users reduce frequency and severity of migraines.