You will get I will build a custom Deep Learning image classification model using CNNs
Project details
I provide high-quality Deep Learning image classification solutions tailored to your specific dataset and business needs.
What sets this project apart is my focus on real-world performance, clean and well-documented code, and practical deployment. I don’t just train a model — I build a complete, end-to-end solution including data preprocessing, model evaluation, and optional web demos using Gradio or Streamlit.
With hands-on experience in medical and plant image analysis, I ensure accurate, reliable, and scalable AI models that you can confidently use or extend.
What sets this project apart is my focus on real-world performance, clean and well-documented code, and practical deployment. I don’t just train a model — I build a complete, end-to-end solution including data preprocessing, model evaluation, and optional web demos using Gradio or Streamlit.
With hands-on experience in medical and plant image analysis, I ensure accurate, reliable, and scalable AI models that you can confidently use or extend.
Machine Learning Tools
Google AutoML, Google Sheets, GPT-3, MLflow, NumPy, NVIDIA AI Platform, OpenCV, Python, TensorFlowWhat's included
| Service Tiers |
Starter
$25
|
Standard
$40
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 4 days |
Number of Revisions | 1 | 2 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Zyad
Machine Learning Engineer | Computer Vision | Python | YOLOv8
Giza, Egypt - 9:18 am local time
I am a Machine Learning and Computer Vision Engineer with hands-on experience in building AI-powered applications from data preprocessing and model training to deployment.
My expertise includes:
Machine Learning & Deep Learning
Computer Vision & Image Processing
Natural Language Processing (NLP)
Generative AI & LLM Applications
Data Analysis & Predictive Modeling
Technical Skills:
• Python, SQL, C++
• TensorFlow, Keras, Scikit-Learn
• OpenCV, MediaPipe, YOLO
• FastAPI, Streamlit, Gradio
• LangChain, RAG, LLM Applications
• Git, GitHub, Power BI
Projects I have worked on include:
🔹 Arabic Sign Language Translation Platform
🔹 Facial Emotion Recognition System
🔹 Dental X-Ray Disease Classification
🔹 Plant Leaf Disease Detection
🔹 AI Recommendation Systems
🔹 NLP-Based Applications
I focus on delivering accurate, scalable, and production-ready AI solutions while maintaining clear communication and meeting project deadlines.
If you're looking for someone to build, improve, or deploy machine learning and computer vision solutions, feel free to reach out.
Let's build something amazing together.
Steps for completing your project
After purchasing the project, send requirements so Zyad can start the project.
Delivery time starts when Zyad receives requirements from you.
Zyad works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze dataset and preprocess images
Build and train a CNN or transfer learning
Evaluate the model using accuracy, confusion matrix, and classification report.