You will get AI Fitness Coach or Sports Analytics using pose estimation
Project details
Are you looking to build an AI fitness coach, pose estimation app, or sports analytics system?
I develop real-time computer vision applications using pose estimation, object detection, and machine learning for fitness platforms and sports tracking solutions.
AI fitness coach with exercise form correction
Real-time rep counting and posture analysis
Sports player tracking and motion analytics
Performance metrics and injury-risk insights
FastAPI backend and API integration
Cloud-ready deployment architecture
Whether you need a proof of concept or a production-ready AI system, I deliver scalable, optimized solutions tailored to your use case.
Technologies: Python, OpenCV, MediaPipe, YOLO, FastAPI, PyTorch.
Message me before ordering so we can define your exact requirements and build the right solution.
I develop real-time computer vision applications using pose estimation, object detection, and machine learning for fitness platforms and sports tracking solutions.
AI fitness coach with exercise form correction
Real-time rep counting and posture analysis
Sports player tracking and motion analytics
Performance metrics and injury-risk insights
FastAPI backend and API integration
Cloud-ready deployment architecture
Whether you need a proof of concept or a production-ready AI system, I deliver scalable, optimized solutions tailored to your use case.
Technologies: Python, OpenCV, MediaPipe, YOLO, FastAPI, PyTorch.
Message me before ordering so we can define your exact requirements and build the right solution.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, Google AutoML, Keras, MLflow, NVIDIA AI Platform, OpenCV, PyBrain, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$450
|
Advanced
$950
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Frequently asked questions
About Muhammad Muneeb
Senior Computer Vision Engineer | Real-Time AI Video Analytics
Rawalpindi, Pakistan - 7:51 am local time
I build real-time AI systems that turn live video into actionable intelligence, whether that’s detecting fire in a facility, flagging suspicious behavior in retail, or analyzing player movement in sports.
Most computer vision models work in a notebook.
Mine run in production, on edge devices, in the cloud, or across multi-camera systems.
I specialize in designing full end-to-end pipelines:
• Data strategy and annotation design
• Model selection, training and fine-tuning
• Latency optimization (real-time performance)
• Multi-object tracking and action recognition
• Edge deployment (Jetson, TensorRT)
• Cloud APIs and scalable architecture
• Monitoring and performance improvement
🔎 What I Build
🚨 Surveillance & Safety AI
Real-time fire detection, shoplifting detection, intrusion monitoring, license plate recognition, behavioral analysis systems.
⚽ Sports Analytics
Player tracking, action recognition, pose-based performance analysis, automated highlight tagging, multi-camera tracking pipelines.
🏭 Industrial Vision
Defect detection, visual inspection systems, OCR pipelines, automated monitoring.
⚙ Technical Foundation
Deep Learning: PyTorch, TensorFlow
Detection & Tracking: YOLO, DeepSORT, ByteTrack
Action Recognition: SlowFast, R(2+1)D
Optimization: TensorRT, ONNX, Edge deployment
Backend & APIs: FastAPI, Flask
Cloud: AWS, GCP
Deployment: Docker, GPU inference pipelines
I don’t just train models.
I design production-ready AI systems that remain accurate under poor lighting, occlusion, motion blur, and real-world constraints.
If you are building:
• A smart surveillance system
• A sports analytics product
• A real-time AI camera application
• An edge-deployed vision system
Send me a brief description of your use case, and I’ll outline how I would architect your solution.
Let’s build something that works outside the lab.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Muneeb can start the project.
Delivery time starts when Muhammad Muneeb receives requirements from you.
Muhammad Muneeb works on your project following the steps below.
Revisions may occur after the delivery date.
Project Discussion
Discussing the Scope of the project in depth