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I will integrate mediapipe pose detection into your web app or python backend
Hamza Shakil
About this gig
You already have an app and need real-time pose detection added cleanly. I'll handle that integration for you.
What I deliver:
- MediaPipe Pose integrated into your existing codebase
- Real-time joint landmark detection (33 body keypoints, 25+ FPS on modest hardware)
- Live overlay rendering on camera or video feed
- Optional pose classification (yoga poses, exercise types, custom positions)
- Clean, documented code your team can extend
The stack I work with:
- Python (standalone scripts, OpenCV pipelines)
- JavaScript and React (web frontend integration)
- FastAPI and Flask (backend pose-processing APIs)
One thing to be upfront about: I don't work on native iOS or Android. For mobile, I can deliver a React component or a backend API your mobile dev can consume.
A bit about me: I'm a final-year CS student. My Final Year Project is a real-time video system with a React dashboard powered by a FastAPI + computer vision backend, so the integration work not just the model side is something I actually do.
Before you order, send me your stack, what pose detection should do, and your target environment. I'll confirm scope first.
Get to know Hamza Shakil
Hamza Shakil
Python AI and Machine Learning Developer for Projects and Automation
- FromPakistan
- Member sinceDec 2025
- Avg. response time1 hour
Languages
Urdu, English
Hi, I’m Hamza Shakil from the Pakistan, specializing in AI automations, machine learning, object detection, image classification, chatbots, and Python-based AI/ML solutions. With part-time experience building AI projects and predictive models, I help startups, businesses, and individuals implement smart, efficient AI solutions tailored to their needs. Let’s collaborate to automate tasks, analyze data, and create intelligent systems that drive real results.
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FAQ
What stacks can you integrate into?
Python (standalone or OpenCV pipelines), React or JavaScript web apps, and FastAPI/Flask backends. I don't currently work on native iOS/Android — for mobile, I deliver a React-based component or backend API your mobile dev can consume.
What pose detection accuracy can I expect?
MediaPipe Pose achieves 95%+ landmark accuracy in good lighting with a clear camera angle. Real-time FPS depends on your hardware — typically 25+ FPS on modest CPUs.
Do you handle pose classification (yoga poses, exercises)?
Yes — Basic supports 1 pose, Standard up to 5, Premium up to 10. Each is implemented as a rule-based check on landmark positions or, if you have data, a small trained classifier.
Do I get the model weights?
MediaPipe is open-source and free — no licensing issues. You get the full source code that calls it, plus any custom classification logic I write for you.
Can you build a full mobile app for me?
No, I focus on the AI integration layer. I deliver code your mobile developer plugs in, or a backend API your app calls. If you need a full mobile app built, I'd recommend booking a mobile-app specialist separately for that piece.
