AI-driven suspended platforms enhance safety and efficiency through real-time load balancing, predictive maintenance, and automated stabilization. These platforms use machine learning algorithms to analyze factors such as cable tension, wind conditions, and structural stress, allowing them to self-adjust suspension points for optimal weight distribution. Additionally, gyroscopic sensors and aerodynamic actuators counteract wind-induced sway, ensuring a stable working environment. The integration of IoT-based remote monitoring enables engineers to detect mechanical issues before failures occur, significantly reducing risks and downtime.