You will get a custom computer vision solution using YOLOv8, OpenCV, and deep learning
Project details
Unlock the power of modern Computer Vision with a custom AI solution built using cutting-edge tools like YOLOv8, OpenCV, and PyTorch. Whether you need real-time object detection, image classification, face recognition, or intelligent automation, I deliver accurate, scalable, and production-ready models tailored to your specific needs. With a focus on speed, precision, and clean code, this project is perfect for startups, researchers, and businesses seeking advanced deep learning solutions. Get end-to-end implementation, model optimization, and seamless deployment — all from a skilled AI engineer.
Machine Learning Tools
Azure Machine Learning, ChatGPT, Databricks MLflow, GitHub Copilot, Keras, MATLAB, Microsoft Power BI, MLflow, OpenCV, pandas, Python, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, Vertex AIWhat's included
| Service Tiers |
Starter
$40
|
Standard
$80
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
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Fast Delivery
+$70 - $150Frequently asked questions
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MM
Mehmood M.
Nov 7, 2025
Fix Error in Face Recognition Software (Python / OpenCV / AI Developer Needed)
He did an excellent job fixing errors in my face recognition model. he handled it perfectly and made everything work smoothly. Very skilled, professional, and easy to work with. Highly recommended for anyone looking for reliable AI or ML support.
About Ahmad
AI/ML Engineer | RAG Systems, Computer Vision & LLM Applications
Kohat Tahsil, Pakistan - 7:29 am local time
I build production-ready AI systems for businesses, specializing in Retrieval-Augmented Generation (RAG) pipelines, computer vision applications, and LLM powered tools. My work is hands-on engineering, not just prompting I design and code the underlying systems using Python, OpenCV, and modern LLM frameworks, so what you get is a working product your business can rely on, not a fragile proof-of-concept that breaks the moment real users touch it.
I hold a Machine Learning Specialization from Stanford University (Coursera), and I stay hands-on across the AI stack from computer vision to LLM applications to RAG systems because real client problems rarely fit into one narrow box. Check out my portfolio below for examples of systems I've built and delivered for past clients.
Here's how I like to work: clear communication from day one so you're never wondering where your project stands, code that's clean and maintainable rather than just functional, and honest timelines instead of overpromises. I treat every project like it's my own, not just another gig to close out.
If you need a RAG system, a computer vision pipeline, or an LLM application built right.
send me a message and let's talk about your project. I'm happy to hop on a quick call to understand what you're trying to build before any commitment on your end.
Steps for completing your project
After purchasing the project, send requirements so Ahmad can start the project.
Delivery time starts when Ahmad receives requirements from you.
Ahmad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Understand client needs and goals Discuss project scope, deadlines, and deliverables
Proposal & Agreement
Provide a detailed project proposal Agree on timeline, budget, and terms