You will get a real time object detection model using YOLOv8 and OpenCV
Rising Talent
Project details
You will get a real time object detection system built with YOLOv8 and OpenCV trained or fine tuned to detect the objects that matter for your use case, whether that's people, vehicles, or custom classes from your own data.
I'm a Micro1 certified Machine Vision Engineer who has built and deployed computer vision systems including real time detection pipelines and a live deepfake detection app (AUC 0.8994). I focus on delivering models that actually run in production, not just notebooks with clean code, clear documentation, and results you can verify yourself before final approval.
I take time to understand your exact use case before training, so the deliverable fits your real environment, whether that's images, recorded video, or a live camera feed.
I'm a Micro1 certified Machine Vision Engineer who has built and deployed computer vision systems including real time detection pipelines and a live deepfake detection app (AUC 0.8994). I focus on delivering models that actually run in production, not just notebooks with clean code, clear documentation, and results you can verify yourself before final approval.
I take time to understand your exact use case before training, so the deliverable fits your real environment, whether that's images, recorded video, or a live camera feed.
Machine Learning Tools
Keras, NumPy, OpenCV, Python, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$70
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $50
Additional Revision
+$10
Model Documentation
(+ 1 Day)
+$20Frequently asked questions
About Zain
Computer Vision Engineer | YOLOv8 & Medical AI | Deep Learning, Python
Islamabad, Pakistan - 6:52 am local time
As a Micro1 certified Machine Vision Engineer, I specialize in real-time object detection (YOLOv8, OpenCV), deepfake and forensic image detection, and medical image analysis using DenseNet121 and CNN architectures.
What I've built and shipped:
• Real time object detection pipeline YOLOv8 + OpenCV, tested on live video
• Deepfake detection system AUC 0.8994, deployed live on Streamlit
• Multi disease medical image classifier DenseNet121, trained across 14 conditions
• Weakly supervised satellite image segmentation DeepLab v3+, ResNet101, custom Focal Partial Cross Entropy loss, delivered for a paid client
• RAG-based document chatbot LangChain, vector search
Tech stack: Python, TensorFlow, PyTorch, Keras, OpenCV, YOLOv8, Scikit-learn, Streamlit, FastAPI, LangChain.
I trained as an AI/ML intern at CodeAlpha and have completed paid freelance projects with verified client reviews. I take time to understand the actual problem before writing a line of code, and I deliver tested, working systems.
Send me your project details and I'll tell you honestly whether I can help and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Zain can start the project.
Delivery time starts when Zain receives requirements from you.
Zain works on your project following the steps below.
Revisions may occur after the delivery date.
Review samples & confirm scope
Review your sample images/video and target classes, then confirm the scope matches your submitted requirements before starting work.
Build detection pipeline
Set up the YOLOv8 pipeline and run detection on your provided samples, or fine tune on your dataset if custom classes are needed.