You will get Custom Computer Vision Model
Project details
You will receive a custom Computer Vision and AI solution built to solve your specific problem—whether it’s object detection, activity tracking, image classification, or real-time video analytics. My approach combines deep expertise in Python, TensorFlow, PyTorch, and OpenCV with a focus on clean, production-ready code. I handle the entire process from data preparation and model training to testing, documentation, and integration, so you get a solution that is both accurate and easy to deploy. What sets me apart is the combination of strong research background, hands-on project experience, and clear communication. I explain every step, deliver transparent performance metrics, and provide instructions so your team can run and maintain the model confidently. By choosing this project, you gain a reliable partner who can turn complex AI concepts into a practical, high-quality solution that saves time, reduces risk, and unlocks new opportunities for your business.
Machine Learning Tools
NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 2 days | 5 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 | 2 | 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 - $25
Source Code
(+ 1 Day)
+$25Frequently asked questions
About Behzad
Computer Vision Engineer
Sukkur, Pakistan - 5:48 am local time
Steps for completing your project
After purchasing the project, send requirements so Behzad can start the project.
Delivery time starts when Behzad receives requirements from you.
Behzad works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff: Requirements & Success Criteria
We align on goal, data, target metrics, constraints, platform, and timeline. I confirm scope, deliverables, and milestones before starting.
Data Audit, Cleaning & Train/Val/Test Split
Inspect samples, label quality, and class balance; remove duplicates; standardize formats; optional augmentation; create reproducible splits and data loaders.