The accurate assessment of pathological gait for individual subjects is a major problem in rehabilitation centers. Automated or semi-automated gait analysis systems are important in assisting physicians in the diagnosis of various diseases. However, these systems are not only highly sophisticated but also require superior quality cameras and complex software which capture large amount of data that often proves difficult to interpret for clinical staff trying to gain insight into the patient’s condition. Automation and simplification of the analysis of gait data is therefore necessary if it is to be used more productively. This research proposes a simple and cost effective approach that utilizes artificial intelligence techniques to automate the analysis and diagnosis processes. It also offers a means to compare different treatment methods and their effectiveness during the course of treatment. Visualization software has also been developed to increase the diagnostic reliability.