The AI walking support system is an intelligent integrated solution combining wearable exoskeleton hardware, high-precision sensing technology and artificial intelligence algorithms, dedicated to assisting mobility-impaired patients and the elderly to achieve stable, safe and standardized walking. The system collects real-time data including joint angles, body balance, muscle force and gait trajectories through multiple built-in sensors. The embedded AI engine identifies abnormal walking patterns instantly, predicts user movement intentions in advance, and dynamically adjusts output auxiliary torque to correct irregular gait such as limping, dragging feet and uneven strides. It guides users to complete repetitive scientific walking training, gradually rebuild normal walking habits and effectively avoid secondary injuries caused by wrong postures. Meanwhile, the system automatically stores long-term training data, generates professional gait assessment reports, and helps therapists formulate personalized progressive rehabilitation plans remotely. Equipped with multi-layer safety mechanisms including anti-fall early warning, emergency stop and torque overload limitation, it works reliably in rehabilitation centers, families and outdoor public roads. By realizing intelligent human-machine collaborative control, this system significantly improves walking stability and limb coordination, shortens rehabilitation cycles, reduces caregiver burdens, and helps users regain independent mobility and confidence in daily life.