Personalized Yoga Recommendation & Correction System

As a yoga enthusiast, I want to create a system that will accelerate how yoga is taught and learned with the help of technology. By using computer vision techniques, particularly convolutional neural networks (CNN), we should enable our yoga system to: - Extract Key Points: By accurately identifying key points in a yoga pose, we can help users correct their pose and get the most out of their yoga session. This will be integral for ensuring a proper and effective yoga workout. Experts in pose estimation and machine learning would be ideal for this task. - Personalized Feedback: We want any corrections to the user's pose to be communicated effectively and clearly. Key to this will be using visual cues displayed on-screen. Therefore, experience in UI/UX design would be an added advantage. - Mood-based Recommendations: The yoga system should be able to tailor its yoga pose recommendations based on the user's mood. Capabilities should include recommending poses for stress relief, energy boosting, promoting calm and relaxation, as well as catering to when the user feels sad or happy. Ideal candidates for this project should have a solid understanding of emotional AI or mood detection technologies. With your expertise, we will be able to create a Yoga system that, through personalized feedback, enhances the yoga experience for all users, regardless of their mood or progress level.