You will get Pose Estimation (Push-Up, Bicep Curl, Crunch Counter) using YOLO26/ YOLO11
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Top Rated
Project details
You will get a Push-Up, Pull-Up, Bicep Curl, and Crunch Counter using YOLO11/YOLOv8 with Pose Estimation in Python
This project includes:
1. Pose estimation for counting exercises like push-ups, pull-ups, bicep curls, and crunches.
2. Code implementation delivered in PyTorch.
3. Python as the primary programming language.
This project includes:
1. Pose estimation for counting exercises like push-ups, pull-ups, bicep curls, and crunches.
2. Code implementation delivered in PyTorch.
3. Python as the primary programming language.
What's included
| Service Tiers |
Starter
$40
|
Standard
$50
|
Advanced
$60
|
|---|---|---|---|
| Delivery Time | 3 days | 2 days | 2 days |
Number of Revisions | 2 | 4 | 5 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
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About Muhammad
Computer Vision & Machine Learning Engineer | OpenCV, YOLO, OCR
100%
Job Success
Gujranwala, Pakistan - 5:01 am local time
🚀 What I Build
✔ Object Detection & Multi-Object Tracking (YOLO26, YOLOv12, YOLO11, YOLOv8, DeepSORT, ByteTrack, BOT-SORT)
✔ Real-Time Video Analytics & Surveillance Systems
✔ Face Recognition & Liveness Detection
✔ Image Segmentation (U-Net, DeepLabV3+, Semantic & Instance)
✔ OCR & Document AI (Tesseract, Google Document AI, PaddleOCR)
✔ Industrial Defect Detection & Quality Control
✔ Medical Image Analysis
✔ Traffic & Vehicle Detection Systems
✔ Retail Analytics & Customer Behavior Tracking
✔ Edge AI Deployment (Jetson, TensorRT, CUDA, Docker, AWS)
✔ Model Optimization (FPS, latency, memory efficiency)
⚡ What I Deliver
✔ End-to-end computer vision systems (data pipelines → model serving → deployment → monitoring)
✔ Real-time computer vision systems (detection, classification, tracking, segmentation)
✔ Custom YOLO model training on your own dataset (YOLOv8, YOLO11, YOLO26)
✔ Multi-camera surveillance & smart monitoring systems
✔ Video analytics pipelines with real-time alerting & reporting
✔ Scalable AI infrastructure on AWS (SageMaker, EKS, Lambda, EC2)
✔ Production-grade APIs and backend services
✔ Optimization of existing systems (lower latency, reduced cloud costs, improved reliability)
🧠 Core Expertise
Computer Vision · Deep Learning · Machine Learning · Object Detection · Multi-Object Tracking · Image Segmentation · Real-Time AI · Video Analytics · OCR · Data Annotation · Edge AI
🛠 Tech Stack
AI & Vision: PyTorch · TensorFlow · Keras · OpenCV · MediaPipe · YOLO variants · Faster R-CNN · Vision Transformers
Tracking & Optimization: DeepSORT · ByteTrack · BOT-SORT · TensorRT · CUDA
Backend & Deployment: FastAPI · Flask · Docker · AWS · Jetson · REST APIs
🌍 Industries I Serve
Retail · Security & Surveillance · Healthcare & Medical · Industrial & Manufacturing · Traffic Management · Smart Cities · Agriculture · Sports Analytics
💡 Why 150+ Clients Chose Me
✔ 100% Job Success Score — Top Rated on Upwork
✔ 5+ years delivering real-world AI systems
✔ Production-ready, scalable solutions
✔ Strong optimization — high FPS, low latency
✔ Clear communication & on-time delivery
📩 Let's Work Together
Looking to build a Computer Vision system, Object Detection model, or Real-Time AI solution?
👉 Message me now — I'll help you design the best approach and deliver a scalable, production-ready solution fast.
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Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Receive the Requirements from Client
As i receive the requirements from the client, the project will be delivered with in a day