AI-Driven Smart Water Bottle with Adaptive Temperature Control

This paper presents an AI-driven smart water bottle that combines adaptive control and continuous AC power operation to achieve precise and efficient temperature regulation. The proposed system integrates an ESP32-C6 microcontroller with a thermoelectric Peltier module and a high-current AC-DC switched-mode power supply (SMPS), enabling continuous high-performance operation without the limitations of battery-based systems. An edge AI model predicts user-preferred temperature set-points based on behavioral and environmental data, while a PID feedback loop dynamically maintains real-time accuracy. The system achieved a 40 % faster heating response and 25 % higher thermal stability compared to battery-powered counterparts, maintaining steady-state precision within$\pm 1{ }^{\circ} \mathrm{C}$across the$10^{\circ} \mathrm{C}-50^{\circ} \mathrm{C}$range. A companion Android application provides seamless user interaction, preference customization, and live telemetry via Wi-Fi and Bluetooth connectivity. Electrical safety, thermal protection, and electromagnetic compatibility are incorporated for reliable household deployment. The design demonstrates how embedded AI and control algorithms can transform everyday hydration into a personalized, intelligent, and energy-efficient experience, highlighting the potential of continuous-power IoT devices in consumer health applications.