![Triangle pose Yoga triangle pose, image shows a yogi doing a yoga pose with Artificial intelligence pose estimation overlay on mediapipe landmarks. The Landmarks are labelled for MediaPipe for Yoga](https://quickpose.ai/wp-content/uploads/elementor/thumbs/Triangle-pose-qg4o60kjwrq39cjqyge7999dyp4j0xhwl33d6f3i8g.png)
Build an AI Fitness App with our SDK
Our SDK lets you add rep counters, timers, form feedback and form checks with a simple-to-use SDK.
The easy way to add pose estimation into fitness apps using MediaPipe computer vision.
Accurate Pose Estimation
Advanced algorithms to provide highly accurate pose estimation, ensuring that your users get the best possible experience.
Customisable Output
Allows you to tailor the output to fit your specific needs, making it easy to integrate into your existing systems and processes.
Fast Processing
Optimized for speed, so you can process camera feeds quickly and efficiently.
Scalable
Can handle a large volume of requests, so it can easily scale to meet the needs of your business
Pre Built Models
Save your time and resources, allowing you to focus on other aspects of your product development.
Open-Source Framework
Mediapipe is an open-source framework developed by Google for building cross-platform, multi-purpose machine learning solutions.
Add our SDK into your app in two ways
You can implement QuickPose yourself via our GitHub Repo or we can help you integrate it into your app.
![MediaPipe Landmarks for human pose estimation for ai fitness app Image shows an athlete doing a deadlift with Pose Estimation Landmarks on her body by MediaPipe](https://quickpose.ai/wp-content/uploads/elementor/thumbs/MediaPipe-Landmarks-for-human-pose-estimation-for-ai-fitness-app-qg4o60kcln2bwaas5clh8bd9nw3rfu3i9r1iesv19k.png)
Build yourself with our GitHub Repo
Integrate QuickPose using our GitHub Repository and our documentation.
Add QuickPose with our Integration Team
Book a consultation to discuss your use case and capabilities.