You will get I will build a custom AI image classification model using CNNs
Rising Talent
Project details
I will develop a custom AI image classification system using modern CNN architectures and transfer learning techniques for high-accuracy predictions and real-world applications.
I have experience working with:
• ResNet50
• Xception
• InceptionV3
• PyTorch CNN models
• TensorFlow/Keras pipelines
This service is ideal for:
• Brain tumor MRI classification
• COVID-19 radiography analysis
• Animal classification
• Satellite image classification
• Rice and sports ball classification
What you will receive:
• Custom trained image classification model
• Dataset preprocessing pipeline
• Accuracy and performance evaluation metrics
• Exported trained model files
• Clean source code and documentation
Technologies:
Python, TensorFlow, PyTorch, Keras, OpenCV
I have experience working with:
• ResNet50
• Xception
• InceptionV3
• PyTorch CNN models
• TensorFlow/Keras pipelines
This service is ideal for:
• Brain tumor MRI classification
• COVID-19 radiography analysis
• Animal classification
• Satellite image classification
• Rice and sports ball classification
What you will receive:
• Custom trained image classification model
• Dataset preprocessing pipeline
• Accuracy and performance evaluation metrics
• Exported trained model files
• Clean source code and documentation
Technologies:
Python, TensorFlow, PyTorch, Keras, OpenCV
Machine Learning Tools
Databricks MLflow, Google AutoML, Keras, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$60
|
Standard
$180
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 4 | 6 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $15
Additional Revision
+$3
Additional Model Variation
(+ 1 Day)
+$70
Additional Scenario
(+ 1 Day)
+$50
Additional Graph/Chart
+$15
Model Documentation
+$40
Hyperparameter Optimization
(+ 2 Days)
+$120Frequently asked questions
About Omar
AI & Machine Learning | TensorFlow, Computer Vision, Machine Learning
Ajman, United Arab Emirates - 2:43 pm local time
• Hands-on experience building AI-powered applications, computer vision systems, and scalable web applications
• Worked with TensorFlow and PyTorch to develop CNN-based image classification and object detection models
• Experienced in transfer learning and fine-tuning architectures such as ResNet50, Xception, and InceptionV3
• Built and fine-tuned Vision-Language Models (VLMs) and multimodal AI pipelines
• Developed full-stack applications with database integration, APIs, authentication systems, and deployment workflows
• Experience with Python, React, Next.js, and modern AI/deep learning workflows
• Contributed to an AI-driven smart classroom project integrating IoT sensors and automation concepts
• Passionate about solving real-world problems through AI and scalable software solutions
Steps for completing your project
After purchasing the project, send requirements so Omar can start the project.
Delivery time starts when Omar receives requirements from you.
Omar works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset Analysis
Review and preprocess the dataset for model training.
Model Training
Build and train the CNN or transfer learning model.