Yoga is an excellent medium of physical exercise, it is very beneficial for health if done properly. But if yoga is practiced in the wrong manner it can have an adverse effect on one’s health. So, for practicing yoga a trainer is important who can guide and monitor the perfectness of different yoga poses. In this paper, a novel system is proposed which aim to assist yoga enthusiast for different yoga poses and validate it for correctness. Integrating computer vision techniques, the proposed system analyses the user’s human pose then based on the domain knowledge of yoga, the user is guided to correct the pose. Precise recognition of yoga pose is a difficult task because of high computation and lack of availability of dataset. For the accurate detection of the yoga pose, different feature extraction and preprocessing methods are applied to the dataset which results in 97.4% accuracy just by using machine learning algorithms. To make the system efficient and low-cost, Human Pose Estimation technique based on computer vision is used.