Human biomechanics, as well as gait, are essential components of life. Human motion is an important spatiotemporal structure because it can determine human health and identification. Human gait demonstrates an individual's specific mobility pattern. The research of locomotion in people and animals is referred to as gait. It requires the synchronisation of many different parts of the human body, including the mind, vertebral column, nervous system, muscles, joints, and bones. Gait analysis has been extensively researched for a variety of applications such as healthcare, biometric authentication, games, and many others. The gait analysis is understood to include an enormous set of interrelated components, which would be difficult to use due to the high number of data and their links. The integration of Artificial Intelligence (AI) and biomechanics can optimize the gait analysis process. The paper details the gait analysis process step by step from data collection to AI model deployment. The steps present in between these processes are pre-processing, feature extraction, and selection. The focus of this survey is to inform emerging researchers about the important guidelines for using gait analysis with AI techniques. The entire survey is based on articles reviewed and implemented by numerous research scholars for gait analysis.