You will get a trained AI recommendation system for your business


Project details
You will get a custom AI/ML solution built with PyTorch and TensorFlow, tailored specifically to your data and business goals. With hands-on experience in deep learning, recommendation systems, model tuning, and computer vision, I deliver production-ready models that are accurate, well-documented, and easy to integrate. Whether you need a model trained from scratch or an existing one fine-tuned for better performance, I focus on clean code, clear documentation, and real results. I use industry-standard tools like MLflow for experiment tracking, OpenCV for vision tasks, and Google AutoML for rapid prototyping. My goal is not just to build a model — but to deliver a solution that actually works for your use case.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, Chainer, Google AutoML, MATLAB, MLflow, OpenCV, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 1 | 3 | |
AI Model Integration | - | ||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20Frequently asked questions
About Md Aminul Islam Bhuiyan
AI & ML Engineer
Mirpur, Bangladesh - 1:41 pm local time
Steps for completing your project
After purchasing the project, send requirements so Md Aminul Islam Bhuiyan can start the project.
Delivery time starts when Md Aminul Islam Bhuiyan receives requirements from you.
Md Aminul Islam Bhuiyan works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
Review your dataset, goals, and requirements to define the best model architecture and approach.
Data Preprocessing
Clean, explore, and prepare your dataset for training including feature engineering and normalization.






