You will get Custom Real-Time object Detection & Tracking System using YOLO

Aziz K.Status: Offline
Aziz K.

Let a pro handle the details

Buy Machine Learning services from Aziz, priced and ready to go.
Aziz K.Status: Offline
Aziz K.

Let a pro handle the details

Buy Machine Learning services from Aziz, priced and ready to go.

Project details

I will build a custom AI system that finds and counts any object in your videos or images, like alpacas, cars, or products.

What you will get:

Trained AI Model: A model ready to detect your specific objects.

Python Script: A simple code to run the system on your computer.

High Speed: The system is optimized to work fast in real-time.

Quality Check: I test the model to make sure it is accurate.

My goal is to give you a tool that is easy to use and works perfectly for your project. Send me a message, and let's get started!
Machine Learning Tools
OpenCV, Python
What's included
Service Tiers Starter
$70
Standard
$100
Advanced
$150
Delivery Time 3 days 3 days 3 days
Number of Revisions
335
Model Validation/Testing
-
Model Documentation
-
-
-
Data Source Connectivity
-
-
-
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$20
Additional Revision
+$5
Aziz K.Status: Offline

About Aziz

Aziz K.Status: Offline
Machine Learning engineer | Data Scientist
Fergana, Uzbekistan - 8:33 am local time

ML Engineer | Data Scientist | AI & Predictive Analytics Expert

I help data-driven companies extract actionable insights and automate decision-making through advanced Machine Learning and Deep Learning solutions.

I help Healthcare, FinTech companies, and E-commerce brands grow by building custom AI models that automate medical image, predict churn, optimize pricing, or automate complex data workflows.

That often means:
• Advanced Image Classification: Developing high-precision models (CNNs) to categorize visual data, from medical diagnostics to industrial quality control.
• Predictive Business Analytics: Building robust models for Churn Prediction and Customer Satisfaction to help businesses proactively retain users and improve loyalty.
• Natural Language Processing: Implementing Sentiment Analysis and text classification to understand user feedback and automate response workflows.
• Building End-to-End ML Pipelines: From data preprocessing and feature engineering to model deployment and monitoring.
• Deploying Scalable AI Services: Creating high-performance APIs for real-time predictions using FastAPI.

📘 About Me
After building and deploying production-ready AI models for diverse industries, I’ve helped startups and enterprises create a significant business impact through data-driven automation and intelligent decision-making.
I’ve worked within FinTech, E-commerce, and Healthcare, and I’m known for clean, reproducible code and a focus on model interpretability. I don't just build "black boxes", I build solutions you can understand and trust.

🤝 Let’s connect
I take pride in building long-term partnerships and delivering work that genuinely moves the needle for your business.
Reach out and say hi — let’s talk about how I can build the intelligent systems your project needs.

🧩 Core Tech:
• Computer Vision: Image classification, CNNs, Transfer learning, OpenCV
• Predictive Modeling: Churn Prediction, Customer Satisfaction (CSAT) Analysis, Regression/Classification
• NLP: Sentiment Analysis, Text Mining, Transformers
• Deployment & MLOps: FastAPI
• Tech stack: Python (Pandas, Scikit-learn and others), PyTorch, SQL

💼 Industry Focus:
• Healthcare & BioTech
• E-commerce & Retail (Customer Analytics)
• SaaS & FinTech
• Scalable AI Web Applications

Steps for completing your project

After purchasing the project, send requirements so Aziz can start the project.

Delivery time starts when Aziz receives requirements from you.

Aziz works on your project following the steps below.

Revisions may occur after the delivery date.

Data Analysis & Project Alignment

I will review your dataset

Custom Training

I will perform data preprocessing and train the model. I'll focus on achieving high mAP (mean Average Precision) and optimizing the model for real-time inference.

Review the work, release payment, and leave feedback to Aziz.