You will get machine learning solutions for image processing and data labeling


Project details
Gain advanced machine learning models for image processing, generative AI, or any ML applications. My services provide innovative, tailored solutions to enhance your business, ensuring top tier performance and accuracy of the models.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, Google Sheets, GPT-3, Keras, MATLAB, Microsoft Excel, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 60 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $300
Additional Revision
+$100
Additional Graph/Chart
+$40
Model Documentation
(+ 1 Day)
+$50
Data Source Connectivity
(+ 2 Days)
+$100About Alexandru
AI & Machine Learning engineer
London, United Kingdom - 1:35 am local time
proactive approach and results-oriented mindset. I specialise in artificial intelligence and machine
learning, with an emphasis on generative AI that is consistent with the company's vision and
technology ambitions. My expertise includes driving innovation using advanced simulations, integrated
machine learning frameworks, and automated processes on cloud platforms such as GCP and AWS.
Steps for completing your project
After purchasing the project, send requirements so Alexandru can start the project.
Delivery time starts when Alexandru receives requirements from you.
Alexandru works on your project following the steps below.
Revisions may occur after the delivery date.
Initial consulatation
Discuss with the client to fully understand the requirements and the desired outcomes of the machine learning model.
Data collection and preparation
Assist in gathering or accessing the necessary datasets. Prepare and preprocess the data for training, including labelling if necessary.
