SOLARFLARE: AI AND IoT FUSION-BASED SOLAR PANEL PROTECTION SYSTEM

Abstract: Energy optimization is a crucial aspect of sustainable development, and integrating Artificial Intelligence (AI) and the Internet of Things (IoT) can significantly improve energy efficiency. This project proposes an AI-IoT-based automated power management system that dynamically controls electrical loads based on environmental conditions such as temperature, humidity, light intensity, and object detection. Sensors continuously monitor these parameters and upload the data to a cloud platform. Machine learning algorithms analyze this real-time data to predict optimal energy consumption patterns. Based on predictions, control commands are sent to the Arduino via a serial port, enabling automated switching of appliances. This intelligent system minimizes energy wastage, enhances user comfort, and contributes to cost-effective power utilization.

Keywords: Energy Optimization, Smart Home, Internet of Things (IoT) , Sensor-Based Automation ,Real-Time Monitoring