International Research Journal of Education and Technology

In the realm of fitness and health, maintaining correct posture during exercises is crucial for maximizing benefits and preventing injuries. This abstract introduces Posture Perfect, a cutting-edge exercise tracking application designed to revolutionize the way individuals monitor and maintain proper posture during their fitness routines. The application leverages advanced technology, including artificial intelligence and sensor integration, to provide real-time feedback on exercise form.

Posture Perfect employs a combination of computer vision and machine learning algorithms to analyze the user's body movements during various exercises. Users can engage with the application through their smartphones or wearable devices, ensuring accessibility and convenience. The application's primary objectives are to enhance exercise effectiveness, reduce the risk of injuries, and promote overall well- being.

The application aims to assist users in maintaining correct posture during their workout routines, ensuring the effectiveness of their exercises. Posture Perfect employs a combination of computer vision and machine learning algorithms to analyze the user's body movements during various exercises.

Users can engage with the application through their smartphones or wearable devices, ensuring accessibility and convenience. The application's primary

objectives are to enhance exercise effectiveness, reduce the risk of injuries, and promote overall well-being.

Key features of Posture Perfect include a user- friendly interface, customizable workout routines, and comprehensive performance analytics. Users can track their progress over time, receive personalized recommendations for improvement, and gain insights into their overall fitness journey.

Machine learning algorithms such as Open Pose, Depose, and Pose Net are integrated to interpret and analyze the extracted body landmarks, providing a comprehensive understanding of users' postures. The application offers real- time feedback, alerting users to any deviations from the correct form and providing guidance for corrective actions. This instant feedback loop empowers users to make immediate adjustments, fostering better muscle engagement and overall exercise performance.

Our Project contributes to the advancement of exercise technology by merging computer vision and machine learning to create a practical and accessible solution for individuals seeking a more effective and injury-resistant workout experience. The application has the potential to revolutionize the way people approach fitness, promoting safer and more efficient exercise habits.