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You will get AI/ML Consultation & Project Scoping
Project details
I will help you plan, scope, and architect your AI/ML project so you can avoid costly mistakes and build a production-ready system. With hands-on experience in Agentic AI, Computer Vision, Deep Learning, and NLP, I turn complex research papers and messy data into working MVPs.
What we will cover in this consultation:
✓ Technical Feasibility: Can your idea be built with current AI technology?
✓ Model Selection: Choosing the right model (Open Source vs. Proprietary APIs).
✓ Architecture Design: Building a scalable and cost-efficient pipeline.
✓ Scoping & Roadmap: A detailed timeline with development milestones and tech stack.
You will receive a complete, written project plan (PDF) detailing the recommended path forward, saving you weeks of trial-and-error.
Whether you need to build a custom RAG chatbot, fine-tune a model, deploy a computer vision system, or translate a research paper to code, let's align on a clear roadmap first.
What we will cover in this consultation:
✓ Technical Feasibility: Can your idea be built with current AI technology?
✓ Model Selection: Choosing the right model (Open Source vs. Proprietary APIs).
✓ Architecture Design: Building a scalable and cost-efficient pipeline.
✓ Scoping & Roadmap: A detailed timeline with development milestones and tech stack.
You will receive a complete, written project plan (PDF) detailing the recommended path forward, saving you weeks of trial-and-error.
Whether you need to build a custom RAG chatbot, fine-tune a model, deploy a computer vision system, or translate a research paper to code, let's align on a clear roadmap first.
Machine Learning Tools
Azure Machine Learning, ChatGPT, GitHub Copilot, Google AutoML, Google Data Studio, GPT-3, Keras, MATLAB, Microsoft Power BI, MLflow, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SAS, scikit-learn, SciPy, SQL, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 0 | 0 | 1 |
Number of Scenarios | 0 | 1 | 2 |
Number of Graphs/Charts | 1 | 2 | 1 |
Model Validation/Testing | - | - | |
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
Frequently asked questions
About Hafiz
Computer Vision & Machine Learning Expert | YOLO, OCR & Deep Learning
Gujranwala, Pakistan - 12:53 am local time
or visual monitoring is a cost your business should not be carrying.
I eliminate it, with production-ready Computer Vision and Machine
Learning systems built around your exact workflow, not generic templates.
✅ IBM-Certified AI, Machine Learning, and Computer Vision Engineer
✅ YOLO object detection, OCR data extraction, image segmentation, tracking, and deployment
✅ Clean Python code, progress demos, documentation, and deployment-ready delivery
Need to automate detection, inspection, OCR, or video analysis with AI?
I help businesses build reliable Computer Vision systems for real-time
object detection, document data extraction, image segmentation, defect
detection, visual quality inspection, image classification, video
analytics, and machine learning prediction tasks.
My focus is not only model accuracy. I also build the complete workflow
around it: data preparation, model training, evaluation, optimization,
API integration, deployment, and documentation.
Services I Can Help With:
▸ Object Detection and Tracking
YOLO-based detection and tracking for CCTV, drones, traffic monitoring,
safety compliance, retail analytics, vehicle detection, people counting,
and automation.
▸ OCR and Document AI
Data extraction from invoices, forms, PDFs, IDs, receipts, scanned
documents, tables, and business paperwork.
▸ Image Segmentation
Custom segmentation models for medical imaging, satellite imagery, remote
sensing, industrial inspection, defect detection, and object masks.
▸ Visual Quality Control
Automated inspection systems for factories, production lines, PPE safety,
product defects, anomaly detection, and quality monitoring.
▸ Video Analytics
Object counting, motion detection, behavior analysis, real-time video
processing, camera-based monitoring, and surveillance automation.
▸ Machine Learning
Classification, regression, forecasting, churn prediction, anomaly
detection, and business prediction models.
Tech Stack:
Computer Vision: OpenCV, YOLOv8, YOLOv11, YOLOv26, RT-DETR, Mask R-CNN, U-Net, SAM
OCR: Tesseract, EasyOCR, PaddleOCR
Tracking: DeepSORT, ByteTrack
Machine Learning: Scikit-learn, XGBoost, LightGBM, CatBoost
Deep Learning: PyTorch, TensorFlow, CNNs, Transfer Learning, Fine-Tuning
Deployment: FastAPI, Flask, Streamlit, Docker, REST APIs
Data: Pandas, NumPy, Feature Engineering, Model Evaluation, Data Annotation
Project Highlights:
▸ Fire and Smoke Detection
Trained a YOLO model on 22,000+ images for real-time drone surveillance.
▸ Vehicle Speed Monitoring
Built a YOLO + DeepSORT pipeline for speed estimation and violation detection.
▸ PPE Safety Compliance
Created a computer vision system for helmet and safety vest detection from CCTV feeds.
▸ Brain Tumor Segmentation
Built a medical image segmentation model for detecting and masking tumor
regions from MRI scans.
▸ Factory Quality Control
Built an image classification and inspection system for detecting product
defects on a moving conveyor belt.
▸ Invoice Data Extraction
Developed an OCR pipeline to convert scanned invoices into structured Excel output.
▸ Business Prediction
Built machine learning pipelines for churn prediction, forecasting, and anomaly detection.
How I Work:
▸ Free consultation to understand your exact requirement
▸ Clear project plan with milestones before any code is written
▸ Weekly progress updates with demo videos or screenshots
▸ Clean, documented, deployment-ready code delivery
▸ Post-delivery support for questions and minor fixes
If you need a Computer Vision, OCR, Object Detection, Image Segmentation,
Video Analytics, Image Processing, or Machine Learning system, send me
your dataset, sample images, video, PDF, or project description.
I will reply with a clear technical plan, timeline, and honest estimate.
Steps for completing your project
After purchasing the project, send requirements so Hafiz can start the project.
Delivery time starts when Hafiz receives requirements from you.
Hafiz works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Analysis & Review
I will review your project description, dataset, and any existing materials you shared to understand the technical requirements and feasibility before our call.
1-Hour Consultation Call
We will have a 1-hour video call to discuss your goals, explore model options (LLMs, CV, etc.), address technical challenges, and align on scope.