You will get a custom image classification model trained on your dataset using DL
Project details
I build custom image classification models using TensorFlow and PyTorch — trained specifically on your dataset and your classes. I've built classifiers achieving up to 98% accuracy across medical imaging, animal detection, and scene recognition. You send your images, I deliver a trained model with full evaluation report and clean documented code — ready to use or deploy.
AI Development Type
Deep LearningAI Tools
Keras, MATLAB, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$20
|
Standard
$50
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 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.
Fast Delivery
+$10 - $20
Additional Revision
+$5Frequently asked questions
About Abdullah
Junior AI/ML Engineer & Data Science Student
Cairo, Egypt - 12:30 am local time
With hands-on experience in machine learning and data science, I specialize in:
• Building and deploying ML models (classification, regression, NLP)
• Data analysis & visualization (Python, Pandas, Matplotlib)
• Deep Learning (TensorFlow, PyTorch)
• Data cleaning, preprocessing & feature engineering
I focus on delivering practical AI solutions that actually work in the real world — not just in theory.
Feel free to message me and let's discuss how I can help with your project!
Steps for completing your project
After purchasing the project, send requirements so Abdullah can start the project.
Delivery time starts when Abdullah receives requirements from you.
Abdullah works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset Review
Analyze your images, check quality, count classes, and plan the model architecture
Model Training
Train and tune the classification model to achieve the best possible accuracy