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You will get Custom Image Classification System Using Deep Learning

Artem K.Status: Offline
Artem K. Artem K.
5.0
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Artem, priced and ready to go.
Artem K.Status: Offline
Artem K. Artem K.
5.0
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Artem, priced and ready to go.

Project details

Need an automated way to classify images and reduce manual work?
I will build a custom deep learning–based image classification system tailored to your dataset and business use case.

Using modern CNN architectures and transfer learning, I deliver scalable, high-quality models suitable for e-commerce, manufacturing, content moderation, or visual quality control tasks.

What sets this project apart? I focus on practical, production-oriented deep learning solutions — not academic experiments.
AI Development Type
Deep Learning, Model Tuning
AI Tools
Keras, MLflow, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$180
Standard
$320
Advanced
$520
Delivery Time 7 days 10 days 14 days
Number of Revisions
123
AI Model Integration
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Detailed Code Comments
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Knowledge Graph
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Model Documentation
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Ontology
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Source Code
Taxonomy
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Frequently asked questions

5.0
6 reviews
100% Complete
(6)
1% Complete
(0)
1% Complete
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1% Complete
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1% Complete
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OS

Oleksii S.
5.00
Mar 11, 2026
LLM Engineer Needed to Build Retrieval-Augmented Generation (RAG) Knowledge System Artem did a great job and was very professional and reliable (LLM, RAG, Vector Database, FAISS, Embeddings, Semantic Search, Generative AI, Python). I would strongly recommend him!

OS

Oleksii S.
5.00
Mar 7, 2026
ML Engineer Needed for Time-Series Forecasting & Demand Prediction Platform Artem is an excellent and knowledgeable technology professional (Time Series, Forecasting, Prophet, ARIMA, LSTM, XGBoost, Predictive Modeling, Python): quick, responsive, solution oriented, and delivered exactly as needed. I highly recommend him!

OS

Oleksii S.
5.00
Feb 28, 2026
NLP Engineer Needed to Build Multilingual Sentiment & Topic Intelligence System Great experience working with Artem. Professional, responsive, solution oriented, and delivered high-quality work on time (NLP - Natural Language Processing, Transformers, BERT, Hugging Face, Sentiment Analysis, Topic Modeling, Embeddings, Python). Thank you for all your help and support!

OS

Oleksii S.
5.00
Feb 3, 2026
Data Scientist Needed for Large-Scale Data Analysis and Predictive Modeling Artem delivered excellent quality work and showed strong expertise in Data Science, Machine Learning, Big Data, PySpark, Data Analysis, Predictive Analytics. He understood the requirements quickly, communicated clearly, and delivered on time. Highly recommended, and I’d be happy to work with Artem again.

OS

Oleksii S.
5.00
Jan 29, 2026
Deep Learning Engineer Needed for Image Classification System for Visual Quality Control Artem's done a great job. Deep Learning, Computer Vision, CNN, Image Classification, TensorFlow, PyTorch, Transfer Learning - high level! I highly recommend Artem for his professionalism and technical expertise.
Artem K.Status: Offline

About Artem

Artem K.Status: Offline
Artificial Intelligence | Machine Learning | Deep Learning | LLM |
100% Job Success
5.0  (6 reviews)
Setubal, Portugal - 3:08 pm local time
I’m an AI and Machine Learning Engineer working across Machine Learning, Deep Learning, and modern AI systems. I focus on building practical, data-driven solutions using machine learning models, neural networks, and Large Language Models (LLMs).

My work covers the full lifecycle of AI solutions - from data preparation and feature engineering to model training, evaluation, and deployment-ready workflows. I have experience working with both structured and unstructured data, applying classical ML as well as deep learning approaches depending on the problem.

I’m especially interested in applied AI, where models are used to solve real business and product challenges, not just experimental or academic tasks.

AREAS OF EXPERTISE:
- Machine Learning and Data Science
- Deep Learning and Neural Networks
- Large Language Models (LLMs) and Generative AI
- Prompt Engineering and Retrieval-Augmented Generation (RAG)
- Natural Language Processing (NLP)
- Computer Vision and Object Detection
- Data Analysis, Feature Engineering, and Model Optimization

TECH STACK:
Programming & ML: Python, pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow, Hugging Face Transformers
LLMs & AI Tools: OpenAI API (GPT, ChatGPT), LangChain, LlamaIndex, PromptFlow, Embeddings, Vector Databases
Computer Vision: YOLO, CNNs, image classification, object detection
Data & Visualization: Power BI, Tableau, Matplotlib, Seaborn
Databases & Storage: PostgreSQL, MySQL, NoSQL databases, FAISS, Weaviate
Version Control: cGit, GitHub

KEYWORDS:
Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Neural Networks, Natural Language Processing (NLP),Computer Vision, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, Transfer Learning, Generative AI, Large Language Models (LLMs), Data Science, Feature Engineering, Model Training, Hyperparameter Tuning, Overfitting & Underfitting, Model Optimization, Explainable AI (XAI), AI Ethics, AI Bias, Fairness in AI, AI Governance,
Responsible AI, Prompt Engineering, Zero-shot Prompting, Few-shot Prompting, Chain-of-Thought (CoT), Self-Consistency Prompting, Instruction Tuning,
Retrieval-Augmented Generation (RAG), Prompt Optimization, Context Length, System Prompt, Temperature (AI Sampling), Top-k & Top-p Sampling, Token Limit, Embeddings,
Fine-tuning, Hallucination (AI-generated misinformation), Prompt Injection, Role-based Prompting, Meta-Prompting, AI-assisted Writing, LLM APIs, OpenAI (GPT, ChatGPT),
Google Gemini (formerly Bard), Meta LLaMA, Anthropic Claude, Hugging Face, TensorFlow, PyTorch, LangChain, Vector Databases (e.g., Pinecone, Weaviate, ChromaDB),
OpenAI API, PromptFlow, LlamaIndex

Steps for completing your project

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

Delivery time starts when Artem receives requirements from you.

Artem works on your project following the steps below.

Revisions may occur after the delivery date.

Purchase & Requirements Submission Включить программу чтения с экрана

You provide image dataset, class labels, and use case.

Project Understanding & Scope Confirmation

We align on objectives, dataset structure, and performance expectations.

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