In this paper, an AI and IoT-driven automatic abdominal retractor system designed to enhance surgical precision and efficiency by maintaining consistent retraction forces and intelligently guiding surgical procedures through real-time data from a webcam-based AI tool. Traditional abdominal retractors, manually operated by surgical assistants, often lead to variability in retraction force and increased surgical risks. The proposed system automates this process, ensuring uniform and precise retraction, while also assisting the surgeon in determining the optimal incision points during surgery. The system incorporates a high-definition webcam that continuously monitors the surgical field, utilizing advanced AI-driven image processing to analyze the live video feed. The AI tool identifies key anatomical landmarks and pinpoints the exact location where the surgeon needs to operate, providing real-time feedback and guidance. This allows surgeons to make more accurate decisions, improving both efficiency and patient outcomes. The information is relayed via an IoT-based interface, enabling real-time adjustments and coordination between the retractor’s movements and the surgeon’s actions. The retractor mechanism operates along three axes—front-back, up-down, and open-close—controlled by a Node MCU IoT device, STM32 microcontroller, and motor driver circuits. The system is powered either by a battery or a standard power supply, ensuring operational flexibility in various clinical settings. Additionally, the IoT connectivity enables remote monitoring and control, allowing for adjustments in real-time as needed. This innovative approach has the potential to revolutionize surgical procedures by integrating automation and AI, ultimately improving the accuracy, safety, and outcomes of surgeries.