Spinal image analysis and computer-assisted intervention have become significant and specialized fields of research. This is largely because treating spinal conditions is crucial, there is more spinal imaging data available, and there have been advancements in data analysis and navigation technologies. This system aims to help medical professionals enhance healthcare by reducing mistakes. By using different features such as PI, PT, LA, SS, PR, and GS are train the model, with the target variable being Deformity, which shows whether or what type of spinal deformity is present. With the performance metrics, these models are trained and evaluated on the testing set and displayed. This knowledge helps enhance patients’ quality of life and avoid potential complications.