The main objective of this project is to develop an ESP32-Based Smart Gas Leak and Explosion Predictor that detects gas leaks and predicts potential hazards in real time. It uses the ESP32 for processing and IoT alerts to ensure safety. The project focuses on building a prototype that provides accurate detection, early warnings, and effective prevention of gas-related accidents.
The ESP32-Based Smart Gas Leak and Explosion Predictor is an intelligent safety monitoring system designed to detect hazardous gas leaks and predict potential explosion risks in real time. The system uses an ESP32 microcontroller as the main controller along with a gas sensor, fire sensor, and DHT11 temperature and humidity sensor to continuously monitor environmental conditions. The collected sensor data is processed using machine learning techniques to analyze risk levels and predict possible dangerous situations before they occur. An LCD displays real-time sensor readings and system status, while a buzzer provides immediate local alerts during emergencies. A GSM module sends warning messages to users and authorities whenever abnormal gas concentrations, fire incidents, or high-risk conditions are detected. The proposed system enhances industrial and residential safety by providing early warning, remote notification, and predictive analysis capabilities.
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