Fire fighter machine is generally used for controlling the fire. The basic design for the machine is made up of only Arduino UNO and its sensors. The paper is presenting an extensive design, development, and evaluation phases for an automated fire fighting vehicle (AFFV) powered by Arduino technology. The AFFV is equipped with intelligent control systems and sensor networks to autonomously navigate through challenging terrains and detect fires in hazardous environments. Leveraging Arduino microcontrollers, the vehicle integrates various sensors including infrared and ultrasonic sensors for real-time environmental monitoring and obstacle detection. A robust chassis design enables the AFFV to maneuver through confined spaces commonly encountered in firefighting scenarios. The vehicle’s fire suppression mechanism utilizes water discharge systems and thermal imaging sensors to detect and extinguish fires promptly, reducing risks to human lives. Simulated firefighting scenarios were conducted to evaluate the AFFV’s performance in responsiveness, accuracy, and reliability. Results demonstrate the effectiveness of the Arduino-powered AFFV in enhancing firefighting capabilities and mitigating the impact of fire incidents. This study contributes to the advancement of autonomous firefighting technologies, offering a promising solution to combat fires efficiently while ensuring the safety of firefighting personnel. Future work will focus on refining the AFFV design and exploring additional functionalities to address evolving firefighting challenges.