Published Paper Details:

Fire hazards pose a serious risk to lives and infrastructure, necessitating advanced, automated solutions for rapid detection and suppression. This project presents an ESP32-based IoT fire-fighting robot that operates in both automatic and manual modes, integrating Blynk IoT for remote monitoring and control. The system is equipped with IR flame sensors to detect fire sources, DC motors for mobility, and a servo-controlled water pump for extinguishing fires.In automatic mode, the robot continuously scans its surroundings for fire, moves toward the detected source, and activates the water pump to extinguish the flames. The servo motor adjusts the water spray direction to ensure efficient fire suppression. Once the fire is eliminated, the robot resumes patrolling. In manual mode, users can remotely navigate the robot and control fire suppression using the Blynk mobile app, which provides real-time sensor data and operational status.The ESP32 microcontroller ensures seamless Wi-Fi connectivity, allowing real-time updates and remote operation via Blynk. The integration of motor drivers (L298N), flame sensors, and actuators ensures reliable performance in dynamic environments. Experimental results demonstrate the effectiveness of this robot in detecting and responding to fire hazards, with successful implementation of remote control and autonomous navigation.Future enhancements could include thermal imaging for precise fire detection, AI-based path planning for autonomous navigation, and integration with LoRaWAN or GSM for long-range connectivity. This project contributes to the advancement of IoT-based fire safety solutions, offering a scalable and efficient approach to fire management in hazardous environments.