Learn how to implement a Fall Detection App using YOLOv7 Pose Estimation in this comprehensive tutorial. Explore the potential of computer vision to save lives by creating a system that alerts health providers when a person falls. Dive into the implementation details, including YOLOv7 Pose Estimation, UI design concepts, and push-up counting logic. Follow along as the instructor guides you through the project files, library imports, icon loading, and fall detection coding. Witness the test run and discover how to apply the same techniques to yoga pose estimation. Gain valuable insights into YOLOv7's superior performance in object detection, boasting 56 FPS on V100 and 55.9% AP, while being 120% faster than YOLOv5.