You will get AI-Powered Chronic Disease Prediction System (6 Models)
Project details
I build high-accuracy, production-ready machine learning models designed for real-world impact. What sets me apart is not just training a model, but delivering a complete, structured AI solution — from data preprocessing and feature engineering to optimization, validation, and deployment-ready code.
With strong expertise in supervised learning, ensemble methods, imbalance handling (SMOTE/NearMiss), and performance tuning, I focus on building robust, interpretable models that generalize well — not just models that work on paper.
My approach combines:
• Clean and scalable Python code
• Proper model validation and cross-validation
• Clear performance reporting (Accuracy, F1, ROC, MAE, etc.)
• Well-documented and easy-to-maintain deliverables
Whether it’s predictive analytics, classification systems, healthcare AI, or research projects, I deliver reliable, data-driven solutions tailored to your specific goals.
I don’t just build models — I build intelligent systems that create measurable value.
With strong expertise in supervised learning, ensemble methods, imbalance handling (SMOTE/NearMiss), and performance tuning, I focus on building robust, interpretable models that generalize well — not just models that work on paper.
My approach combines:
• Clean and scalable Python code
• Proper model validation and cross-validation
• Clear performance reporting (Accuracy, F1, ROC, MAE, etc.)
• Well-documented and easy-to-maintain deliverables
Whether it’s predictive analytics, classification systems, healthcare AI, or research projects, I deliver reliable, data-driven solutions tailored to your specific goals.
I don’t just build models — I build intelligent systems that create measurable value.
Machine Learning Tools
NumPy, OpenCV, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 3 | 6 |
Number of Scenarios | 1 | 3 | 6 |
Number of Graphs/Charts | 3 | 6 | 12 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
About Mohamed
AI Engineer
Al Mansurah, Egypt - 9:52 pm local time
I have a proven track record of developing high-accuracy models, including a 97.5% accurate chronic disease prediction system and BERT-powered NLP classification solutions. My expertise spans supervised learning, ensemble methods, feature engineering, and model optimization across healthcare, predictive analytics, and natural language processing domains.
Currently a DEPI Fellow specializing in Generative AI, I combine research-driven methodologies with practical implementation to deliver scalable, ethical, and human-centered AI solutions.
What I bring to your project:
• End-to-end ML development (data → model → evaluation → deployment)
• Strong foundation in Python, Scikit-learn, XGBoost, TensorFlow, PyTorch
• Model optimization and performance tuning
• Clean, well-documented, production-ready code
• Clear communication and structured workflow
I focus on building intelligent systems that are not only accurate but reliable, interpretable, and ready for real-world impact.
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Data Analysis & Understanding
Perform exploratory data analysis (EDA), check missing values, outliers, and data distribution.
Data Preprocessing & Feature Engineering
Apply scaling, encoding, PCA, SMOTE (if needed), and feature selection techniques.