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I will develop ai computer vision, yolo and ocr solutions
Computer Vision Engineer ,YOLO, OpenCV, Python
Hi, I'm Muhammad Ali Hassan, a Computer Vision Engineer specializing in AI-powered solutions using Python, YOLO, OpenCV, PyTorch, TensorFlow, and OCR. I help startups and businesses build custom appli...
About this Gig
AI Solutions: Computer Vision, YOLO, OpenCV & OCR
I develop custom AI-powered Computer Vision solutions that help businesses automate visual tasks using YOLO, OpenCV, OCR, and Python. Whether you need object detection, real-time tracking, license plate recognition, image processing, or intelligent video analytics, I can build a reliable solution tailored to your requirements.
What I can build:
Custom Object Detection & Tracking (YOLO)
OCR & Text Extraction (EasyOCR, PaddleOCR, Tesseract)
License Plate Recognition (ANPR/ALPR)
Image Processing & Computer Vision Applications
CCTV & Smart Surveillance Analytics
People Counting & Retail Analytics
Vehicle Detection & Traffic Monitoring
Parking Occupancy Detection
Custom YOLO Model Training & Fine-Tuning
Dataset Annotation & Preprocessing
Flask/FastAPI APIs for AI Models
End-to-End AI Deployment & Integration
Why work with me?
- Clean, maintainable, and well-documented code
- Fast communication and on-time delivery
- Scalable and production-ready AI solutions
- Support from project planning to deployment
- Solutions tailored to your business needs
Programming language:
Python
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab
Frameworks:
Scikit-learn
•
Panda
My Portfolio
FAQ
What kind of Computer Vision projects do you develop?
I develop custom AI Computer Vision solutions, including object detection, object tracking, OCR, image processing, license plate recognition (ANPR), people counting, traffic analytics, parking detection, retail analytics, and intelligent surveillance systems using Python, YOLO, OpenCV, and deep lear
Can you train a custom YOLO model on my dataset?
Yes. I can prepare your dataset, perform annotation if required, train and fine-tune custom YOLO models, optimize performance, and provide the trained model along with the source code and documentation.
What technologies do you use?
Depending on your project requirements, I use: Python YOLO (Ultralytics) OpenCV PyTorch TensorFlow EasyOCR / PaddleOCR / Tesseract Flask / FastAPI NumPy & Pandas I always choose the most suitable tools for your project.
Can you deploy the AI model into a web application or API?
Yes. I can integrate your model into Flask or FastAPI applications, REST APIs, desktop applications, or deploy it on cloud platforms depending on your requirements.
Do I need to provide a dataset?
Not necessarily. If you already have a dataset, I can use it. If not, I can help with dataset collection, annotation, preprocessing, and augmentation as part of the project.
Will I receive the complete source code?
Yes. Unless otherwise agreed, all packages include clean, well-structured source code. Higher-tier packages also include documentation and guidance for running the project.
