AERO CARE PREDICTOR

Abstract

Aero Care Predictor is an IoT-based indoor air hazard monitoring system developed to improve environmental safety through continuous detection and monitoring of harmful gases and smoke in indoor environments. The system is designed to identify dangerous conditions such as smoke presence, combustible gas leakage, and carbon monoxide accumulation in real time, thereby reducing potential health and safety risks. It is suitable for applications in homes, laboratories, industries, and other enclosed spaces where air quality deterioration may create hazardous situations. The system utilizes a Raspberry Pi as the central controller responsible for collecting, processing, and analyzing sensor data. Multiple gas sensors are integrated into the system, including the MQ-2 sensor for smoke and flammable gas detection, MQ-5 for LPG and natural gas sensing, and MQ-7 for carbon monoxide monitoring. These sensors continuously monitor air quality parameters and transmit real-time readings to the Raspberry Pi for analysis. A buzzer is used to generate immediate audible alerts whenever hazardous gas concentrations exceed predefined threshold values. The IoT communication module enables wireless transmission of sensor readings and alerts to cloud servers for remote monitoring and data storage. The system classifies air quality conditions into Safe, Warning, and Danger levels, enabling users to take preventive actions