Virtual Posture Assistant - Body Posture Assistant using Machine Learning Models and Ergonomics

To Solve the issue of posture-related problems during activities like sleep, standing, and sitting, our project introduces a robust body posture assistant. Widespread use of technology and sedentary lifestyles has led to a rise in health issues linked to poor posture. Our solution leverages real-time video analysis and advanced pose estimation techniques to identify and categorize postures. Employing machine learning, like Support Vector Machines (SVM), our model discerns between beneficial and detrimental postures. When suboptimal posture is detected, the system integrates ergonomic concepts to evaluate associated risks and discomfort levels. The overarching objective is to furnish users with insights into their posture habits, offering corrective guidance to reduce health risks associated with sustained poor positioning. This comprehensive approach aims to instill awareness and promote healthier postural practices during various daily activities, contributing to enhanced overall well-being.