You will get a high-accuracy image classification deep learning model
Project details
You will get a fully optimized Image Classification Model built using state-of-the-art deep learning techniques. I specialize in developing custom CNN and transfer learning models (e.g., ResNet, EfficientNet, or MobileNet) tailored to your dataset for maximum accuracy and performance. With a strong background in Artificial Intelligence, Data Science, and Machine Learning, I ensure your model is not only highly accurate but also efficient and ready for real-world deployment.
What sets my work apart is my end-to-end approach — from data preprocessing, augmentation, and model training to evaluation, hyperparameter tuning, and deployment-ready output. The final deliverable will include a clean, well-documented model, performance report, and prediction script. Every project is handled with precision, ensuring high-quality, original, and reproducible results that drive meaningful insights and automation for your business.
What sets my work apart is my end-to-end approach — from data preprocessing, augmentation, and model training to evaluation, hyperparameter tuning, and deployment-ready output. The final deliverable will include a clean, well-documented model, performance report, and prediction script. Every project is handled with precision, ensuring high-quality, original, and reproducible results that drive meaningful insights and automation for your business.
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, Open Neural Network Exchange, OpenCV, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$25
|
Advanced
$30
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 5 |
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
+$10About Ahmed
Data Scientist | Machine Learning, Deep Learning & AI Solutions
Giza, Egypt - 10:22 am local time
My approach begins with understanding the data, ensuring it is clean, structured, and ready for analysis. From there, I apply statistical techniques and machine learning methods to identify patterns, build predictive models, and optimize performance for reliable results. I have experience working with both structured and unstructured data, and I know how to design models that adapt to different challenges.
Beyond analysis and modeling, I also focus on making solutions practical and accessible. Whether it’s developing a predictive system, creating a deep learning model, or delivering well-organized reports, I make sure the outcomes are clear, actionable, and aligned with client goals. I also work on building user-friendly applications that integrate AI models, allowing clients to use advanced technologies in an easy and effective way.
What I offer:
Comprehensive data analysis and visualization to uncover trends and insights.
Development of machine learning models for accurate and reliable predictions.
Deep learning solutions for complex data such as images, text, or large datasets.
Web scraping and data collection to build clean, structured datasets.
Delivery of easy-to-use, data-driven applications that support decision-making.
My objective is to provide solutions that are not only technically accurate but also impactful helping clients make informed decisions, improve efficiency, and achieve long-term success through data-driven strategies.
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
Upload dataset & project goal
Upload your dataset (ZIP or download link). Specify label format (folders-per-class or CSV with path,label), number of classes, example images if possible, target metric (accuracy/F1), and any constraints or deployment preferences.