You will get a Diabetes Prediction Machine Learning Web App


Project details
This project involves building a Machine Learning web application for diabetes prediction using Python and Streamlit. The system processes user health data, applies trained classification models, and predicts diabetes outcomes with an interactive interface. The project includes data preprocessing, model training, evaluation, and deployment-ready implementation suitable for healthcare AI applications and portfolio projects.
Machine Learning Tools
NumPy, PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$33
|
Advanced
$66
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 1 | 3 | 4 |
Number of Model Variations | 2 | 3 | 4 |
Number of Scenarios | 3 | 4 | 5 |
Number of Graphs/Charts | 2 | 6 | 6 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Graph/Chart
(+ 3 Days)
+$66About Sahar
Data Scientist | Machine Learning Engineer AI & Data Science Specialis
Bilqas, Egypt - 1:45 am local time
I have hands-on experience with:
• Machine Learning & Predictive Analytics
• Data Cleaning & Preprocessing
• Data Visualization & Reporting
• Streamlit Dashboard Development
• Python, Pandas, NumPy, and Scikit-learn
• Model Training & Performance Evaluation
I worked on projects such as Diabetes Prediction Systems and interactive data dashboards that help users understand data and make better decisions.
I focus on delivering clean, efficient, and user-friendly solutions with clear communication and on-time delivery. I am always eager to learn new technologies and help clients turn ideas into real-world AI and data-driven applications.
Steps for completing your project
After purchasing the project, send requirements so Sahar can start the project.
Delivery time starts when Sahar receives requirements from you.
Sahar works on your project following the steps below.
Revisions may occur after the delivery date.
Data Analysis & Preparation
Analyze the dataset, clean the data, and prepare features for machine learning model training.