You will get a Push ups Counter using Pose estimation and YOLO.
Top Rated
Top Rated
Project details
I have developed this project to help people in their GYM exercise and they can leverage help of AI to count total numbers of pushups they do at a time.
AI Development Type
Deep LearningAI Tools
OpenCV, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 7 days |
Number of Revisions | 0 | 1 | 1 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - | - | - |
5 reviews
(5)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
AM
Ashish M.
Jun 15, 2026
Consultation Needed: Machine Vision Expert for Visual Inspection Systems
AN
Anand N.
Mar 13, 2026
30 minute consultation
ML
Malesh L.
Jan 27, 2026
Computer Vision Consultant
MG
Mercer G.
Dec 6, 2025
Software analysis requirements for autonomous warehouse vehicle and 6 axis arm.
nice guy. try's heard.
SN
Shaya N.
Aug 22, 2025
Training GAN
About Ashish
AI & Machine Learning Engineer | Computer Vision | Deep Learning
100%
Job Success
Ahmedabad, India - 2:45 am local time
I work across the complete computer vision pipeline — from dataset preparation and model training to inference, object tracking, Re-ID, optimization, and production deployment.
If you need someone to build a computer vision solution from scratch, improve an existing model, or integrate AI into your production system, I can help.
🚀 What I Can Build
🔹 Object Detection
- YOLO-based object detection
- Custom object detection models
- Small-object detection
- Custom dataset preparation and training
- Detection in images, videos, CCTV and RTSP streams
🔹 Object Tracking
- Multi-object tracking
- Object detection + tracking pipelines
- Entry/exit tracking and counting
- Appearance-based tracking
- Re-ID based tracking
- Tracking objects across occlusions and difficult scenes
🔹 Object Re-Identification
- Feature/embedding extraction
- Similarity matching
- Cosine similarity based matching
- Appearance-based identity association
- Re-ID integrated with detection and tracking
🔹 Image Segmentation
- Instance segmentation
- Semantic segmentation
- Object-level segmentation
- Detection + segmentation + tracking pipelines
🔹 Image Classification
- Custom classification models
- Binary and multi-class classification
- Model evaluation and threshold optimization
- Production-ready classification pipelines
🔹 Video Analytics
- Real-time video processing
- RTSP/CCTV analytics
- Multi-camera processing
- FPS and frame-drop monitoring
- Object counting and zone-based analytics
- Entry/exit detection
- Real-time event detection
⚙️ Model Optimization & Deployment
I can take a trained deep learning model and optimize it for real-world inference and deployment.
Experience includes:
PyTorch → ONNX → OpenVINO / TensorRT / TFLite
I work on:
- GPU inference optimization
- CPU inference optimization
- ONNX conversion
- OpenVINO deployment
- TensorRT optimization
- TFLite conversion
- Edge AI deployment
- Model size and latency optimization
- Production inference pipelines
🧠 Deep Learning & AI
My experience includes:
- PyTorch
- TensorFlow
- YOLO / Ultralytics
- OpenCV
- ONNX
- OpenVINO
- TensorRT
- TFLite
- CNNs
- Transformers
- Embeddings
- Metric learning
- Re-identification
- Image classification
- Object detection
- Image segmentation
- Pose estimation
🎥 Real-Time Computer Vision
I have experience working with real-time video pipelines where performance and reliability matter.
I can work with:
- RTSP streams
- IP cameras
- CCTV systems
- MP4/video files
- Multiple simultaneous streams
- CPU/GPU inference
- Real-time detection and tracking
I can also help identify production issues such as FPS drops, frame loss, inference bottlenecks, synchronization problems, memory usage and latency.
🤖 NLP & AI Assistants
Along with computer vision, I have experience developing NLP-based chatbots and AI assistants that can understand user queries and provide relevant responses.
🛠️ My Development Approach
I don't focus only on getting a model to work in a notebook.
My goal is to build a solution that works reliably in the real-world environment.
Typical workflow:
Requirement → Dataset → Training → Evaluation → Optimization → Deployment → Production Testing
I can work with an existing codebase/model or develop the complete solution from scratch.
💼 Projects I Can Help With
Whether you need:
- A custom YOLO model
- Object detection for a specific product or machine
- Real-time CCTV analytics
- Object tracking and counting
- Re-ID based tracking
- Image/video segmentation
- Model conversion to ONNX/OpenVINO/TensorRT
- Edge AI deployment
- AI-powered inspection systems
- Computer vision automation
- Video stream monitoring
- Existing model optimization
- Debugging an AI production pipeline
I can help design and implement the solution.
⭐ Why Work With Me?
I combine computer vision, deep learning, model optimization, and deployment rather than focusing only on model training.
I’m comfortable working with both research/prototyping and production-oriented computer vision systems, and I enjoy solving challenging problems involving images, videos, cameras, tracking, identity recognition and real-time AI.
If you have a Computer Vision, AI, Machine Learning, Video Analytics, Object Detection, Tracking, Re-ID or Model Deployment project, feel free to message me with the requirements. I’d be happy to discuss the approach and help turn your idea into a working solution.
Steps for completing your project
After purchasing the project, send requirements so Ashish can start the project.
Delivery time starts when Ashish receives requirements from you.
Ashish works on your project following the steps below.
Revisions may occur after the delivery date.
Understand clients requirements and make changes according to that.
Will understand clients requirements and make required changes and deliver the final product.