You will get a custom AI-powered image classifiers and detection models
Project details
I’ll help you build an AI image classifier that fits your needs. If you already have sample images, great — we’ll train directly on them. If not, just tell me your field or style (products, portraits, designs, etc.) and I can help collect or create the right dataset for you.
You’ll get a model that’s accurate, practical, and delivered in a way you can use as a demo app, API, or clean source code. My goal is to make it simple: you share your idea, I handle the tech.
You’ll get a model that’s accurate, practical, and delivered in a way you can use as a demo app, API, or clean source code. My goal is to make it simple: you share your idea, I handle the tech.
Machine Learning Tools
Deeplearning4j, Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$90
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $120
Additional Revision
+$20
Additional Model Variation
(+ 2 Days)
+$60
Additional Scenario
(+ 2 Days)
+$50
Additional Graph/Chart
(+ 1 Day)
+$25
Model Documentation
(+ 1 Day)
+$40
Data Source Connectivity
(+ 3 Days)
+$75Frequently asked questions
About Ziad
Data Scientist
6th of October City, Egypt - 9:51 pm local time
Hands-on projects (EDA, SQL, ML, SHAP, Streamlit dashboard deployment).
Passionate about bridging data with business * proven impact in cost savings & design optimization.
PROJECT HIGHLIGHTS
AI vs Real Image Classifier.: Curated custom dataset (500 AI-generated images + 470 real photos), Preprocessed and augmented data (resize, flips, contrast, blur), Trained a Vision Transformer (ViT) model in Roboflow → achieved ~99% accuracy, Deployed on Streamlit Cloud for interactive testing
Energy Efficiency Explorer: Developed ML models (R² 0.99 real vs 0.82 synthetic), Applied SHAP interpretability, Deployed Streamlit app.
Chinook SQL: Designed and executed advanced SQL queries (joins, CTEs, windows), delivered profitability insights.
Falcon 9 Capstone: Built classification models (LogReg/XGB) to predict rocket landings.
Steps for completing your project
After purchasing the project, send requirements so Ziad can start the project.
Delivery time starts when Ziad receives requirements from you.
Ziad works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Review requirements + dataset shared by client
Step 2: Preprocess images and prepare training pipeline