Fire accidents pose a significant threat to human life, infrastructure, and the environment, necessitating rapid detection and suppression mechanisms. Traditional firefighting methods rely on human intervention, which can be time-consuming, hazardous, and inefficient in large- scale fires. To address these challenges, the Hybrid Fire Fighting Robot is designed as an autonomous and remotely controlled system that integrates IoT, AI, and automation for real- time fire detection and suppression. The robot is equipped with flame, smoke, and ultrasonic sensors, a high-pressure water pump, and motorized mobility, enabling it to detect fire, navigate obstacles, and extinguish flames effectively. The system supports real-time monitoring and remote control through IoT-based connectivity, making it suitable for industrial, residential, and commercial applications. The project aims to provide a cost- effective, scalable, and reliable fire suppression solution. Future enhancements include AI- driven fire detection, advanced suppression mechanisms, and integration with emergency response networks to improve firefighting efficiency.
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