A spinal cord injury (SCI) represents a profoundly distressing and life-changing medical ailment. It emerges when the spinal cord sustains damage, usually due to trauma. The spinal cord is an elongated, slender, tube-like structure that runs from the base of the brain down to the back. It serves a vital function in transmitting information between the brain and the rest of the body. An injury to the spinal cord can lead to different degrees of paralysis and a reduction in functionality below the point of injury. Digital bridge technology has the potential to significantly improve the autonomy, movement, and overall well-being of individuals who are paralyzed. As an example, brain-computer interfaces (BCIs) enable individuals with paralysis to manage external equipment, such as computers or robotic limbs, by utilizing their brain signals. Integrating machine learning and AI techniques into BCIs has revolutionized their capabilities. AI algorithms can now learn and adapt to user feedback, resulting in more accurate and reliable BCI systems. Brain-Computer Interfaces (BCIs) allow direct brain-computer communication without requiring physical input devices. BCI research originated in the 1970s and has evolved from invasive to non-invasive techniques. In medical settings, BCIs can decrease reliance on caregivers, providing assistance to patients with paralysis.