I will create computer vision object detection solutions
AI Engineer, Python Developer , AI Agents, LLMs Chatbots, Computer Vision
About this Gig
Need a custom computer vision or object detection system? I build practical AI pipelines that turn raw video and images into real-time intelligence using Python, YOLOv8, and OpenCV.
How I Solve Your Problem
- Object Detection & Tracking: Custom models for real-time people, vehicle, or object counting using YOLOv8 & OpenCV.
- OCR & Image Processing: Automated text extraction, license plate recognition, and classification.
- Deployment: Clean Python scripts and FastAPI integration.
Tech Stack Python, YOLOv8, OpenCV, PyTorch, TensorFlow, FastAPI, Docker
Why Choose Me? Production-ready code, clean documentation, fast communication, and end-to-end execution.
How It Works
- Requirements: Send me your project goal and data.
- Strategy: I design the ideal model architecture.
- Build & Test: I train and test the vision pipeline.
- Handover: You get full source code, model weights, and docs.
Message me FIRST to scope your project!
APIs:
Other
Programming language:
Python
Tools:
OpenCV
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TensorFlow
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SimpleCV
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Colab
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PyTorch
Frameworks:
Scikit-learn
•
Google ML Kit
•
SimpleCV
•
PyTorch
•
Panda
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Can you detect people in videos?
Yes. I can build people detection for uploaded videos, webcams, and real-time camera streams
Can you use my own dataset?
Yes. Custom YOLO training can be added when you need detection for a specific environment or use case.
Can you count detected people?
Yes. People counting can be included in the Standard and Premium packages.
Do you provide the source code?
Yes. Source code is included with all packages.
Which technologies do you use?
I primarily use Python, YOLO, OpenCV, NumPy, and other appropriate computer vision and machine learning tools depending on the project.
Do you provide installation instructions?
The Standard and Premium packages include setup guidance/documentation. Basic includes instructions for running the delivered project.

