The fusion of yoga and technology has revolutionized the way people practice yoga, making it more accessible and personalized than ever before. Virtual yoga trainers, aided by technological advancements, have paved the way for individuals to seamlessly incorporate yoga into their daily routines. Through online platforms and apps, users can access a vast array of yoga classes, tailored to their specific needs and preferences.

These trainers provide interactive video tutorials, personalized feedback, and modifi- cations, ensuring proper form and technique. Technological advancements have also

enhanced the tracking and monitoring capabilities of yoga practice, allowing users to track vital signs, heart rate, calories burned, and overall progress. The integration

of technology has fostered a sense of community among practitioners, enabling indi- viduals to connect with fellow yogis, join virtual classes, and participate in challenges

and discussions. This social aspect encourages support, motivation, and the shar- ing of experiences, regardless of geographical constraints or physical limitations. The

accessibility provided by virtual yoga trainers allows people with busy schedules or specific circumstances to easily access diverse yoga options and tailor their practice accordingly. Overall, the combination of yoga and technology has created a new era of accessible and personalized yoga practice, enabling individuals to achieve their fitness goals and incorporate yoga into their daily lives with convenience and flexibility.

The scope and motivation of our AI Yoga Trainer project, which incorporates pose accuracy estimation, revolve around revolutionizing the way people practice yoga by

leveraging advanced technologies. Our goal is to create a user-friendly platform or ap- plication that provides personalized and interactive virtual yoga training experiences.

Using computer vision and artificial intelligence, our AI Yoga Trainer will accu- rately estimate and analyze the accuracy of yoga poses performed by individuals.

By leveraging pose estimation algorithms and real-time tracking, the system will offer users real-time feedback and guidance on their pose alignment, balance, and execution. The motivation behind our project lies in making yoga more accessible, convenient, and effective for individuals. We aim to cater to diverse user needs and preferences, offering a solution that can be accessed anytime and anywhere. By incorporating pose accuracy estimation, users can ensure they are practicing yoga with proper form and technique, leading to more effective and safe workouts.

The proposed system for the project is an AI-powered automated yoga training website The website aims to address the need for personalized and effective yoga training by utilizing AI technology to detect and assess the accuracy of yoga poses performed by users.

The project incorporates advanced algorithms to accurately estimate the align- ment, balance, and form of yoga poses, ensuring users practice with precision and effectiveness..

The AI Yoga Trainer provides immediate feedback and guidance to users during their yoga sessions, helping them correct their posture and technique for optimal re- sults and safety..

The project aims to create a user-friendly interface that allows individuals to easily navigate and access the AI Yoga Trainer, making it accessible and intuitive for users of all levels of experience.

Making the platform and resources available to a wide range of users.

Login : Handles user authentication and access to the yoga trainer platform. It enables users to create accounts, securely log in using credentials, and manage their personal information.

Data Collection : Collecting information such as name,age, gender, height, weight etc.

BMI Calculation : BMI is a widely used metric to assess body composition and provide an indication of overall health. By calculating the BMI, the module helps users understand their current fitness level and guides them towards appropriate yoga training programs.

BMI Classification : The BMI Classification module categorizes the user’s BMI into predefined ranges or categories. These categories may include underweight, normal weight overweight.

Pose Recommendation : The Pose Recommendation module suggests specific yoga poses based on user’s BMI level.This module helps users discover and engage in poses that align with their specific needs and aspirations.

Pose Accuracy : The Pose Accuracy module evaluates the user’s performance and execution of yoga poses.