AI-Powered Sleep Optimization with EEG Analysis

Sleep tracking has come a long way, but what if your device could go beyond tracking and start optimizing? I’m thinking of an AI-powered sleep assistant that uses EEG sensors embedded in a headband to monitor brainwave activity during sleep. It would use deep learning algorithms to analyze REM cycles and adjust white noise, temperature, or even mattress firmness to optimize sleep quality. Imagine waking up refreshed because your device adjusted your environment while you slept, based on real-time brain activity data. This could be a game-changer for people struggling with insomnia or irregular sleep patterns.