I will build a professional machine learning diabetes detection web app with streamlit

Do you have health or medical data and need a machine learning model that predicts outcomes accurately?

I will build a fully functional ML health prediction web app diabetes, heart disease, cancer risk, or your custom medical dataset using Python, Scikit-learn, and Streamlit. You will get a clean, interactive application that anyone can use, with no technical background required.

What you will get:

A trained ML model (Random Forest, SVM, Logistic Regression, or XGBoost)

Interactive Streamlit web app with input fields and instant prediction

Model performance report (accuracy, precision, recall, confusion matrix)

Feature importance visualization

Full Python source code with comments

Live deployed link on Streamlit Cloud

Supported use cases:

Diabetes prediction (Pima Indians dataset or your own)

Heart disease / cardiovascular risk

Any Binary or multi-class health classification task

Why choose me:

I am an AI student and ML developer with a deployed diabetes prediction app (90%+ accuracy) and a strong background in healthcare ML applications. I understand both the technical side and how to present predictions in a user-friendly way.

Message me with your dataset if interested.