Yoga, a traditional Indian practice involving physical, mental, and spiritual elements, has been practiced for centuries with its holistic approach to wellness having broad appeal to yoga practitioners, the postures (asanas) contain intricacies in them that can be difficult to master, and improper form can lead to injuries. As technology advances, particularly artificial intelligence (AI) and machine learning (ML), innovative systems for analyzing postures in real time and giving feedback to practitioners on alignment and technique are now being developed. These AI-based systems use computer vision techniques to interpret complex patterns in human movement, as well as offer individualized help to enhance a practitioners yoga practice while also preventing harm. This paper will explore the world of AI-assisted yoga, including the types of methods and technologies used to develop them to date. Our main intention of this paper is to focus on the movement and methods from traditional ML methodologies to DL (deep learning) models, discussing the strengths and issues of each in this unique application.