AI-Integrated Smart Environment Monitoring System with Real-Time Dart Dashboard: A Unified IOT Framework Using ESP32, Multisensory Array, and Intelligent Alert Mechanism

The rapid convergence of the Internet of Things (IoT), low-cost embedded microcontrollers, and cloud analytics has fundamentally transformed real-time environmental monitoring and smart security systems. This paper presents a comprehensive survey and integrated framework synthesizing six peer-reviewed research works spanning IoT-based indoor environment quality (IEQ) monitoring, ESP32-based weather stations, air quality monitoring using Raspberry Pi, and multi-factor authentication mechanisms for banking security. The surveyed systems collectively demonstrate the effectiveness of low-cost sensor nodes—specifically ESP32-WROOM, Raspberry Pi, and DHT22/MQ-series/BH1750 sensor suites—in achieving high-accuracy, real-time measurements with R2 >0.98 and RMSE