Published Paper Details:

The creation of an AI- powered yoga posture identification system grounded on common point analysis is the end of this design. The major ideal is to produce a virtual coach that can directly identify colorful yoga positions and give druggies with real-time feedback. The device analyzes the stoner's body's major joints to determine their station using complex computer vision algorithms, after which it offers posture correction recommendations. The program recognizes and classifies yoga postures using slice- edge deep literacy models, icing a comprehensive content of a wide range of acts. druggies can interact with the virtual coach through its easy- to- use interface, which displays the detected posture and provides details like alignment suggestions and the name of the disguise. One of the main advantages of this AI yoga posture discovery system is that it can give druggies customized feedback, which helps them acclimate their postures for optimal benefit and injury forestallment. Beyond simple recognition, the technology enhances the entire literacy process by laboriously guiding druggies through correction procedures. In addition to being a helpful online schoolteacher, the system includes stoner shadowing capabilities that allow druggies to cover their progress over time. This function gives druggies a sense of success, which motivates them to exercise yoga frequently and ameliorate their ways. Through the use of slice- edge technology, this trouble seeks to ameliorate yoga's efficacity and availability for interpreters of all skill situations. By enabling druggies to develop a deeper understanding of their practice, the AI yoga posture discovery system not only acts as a virtual companion but also promotes a peaceful emulsion of tradition and invention in the field of fitness and wellbeing.