🩺 Diabetes Prediction App

A simple Machine Learning web app built with Streamlit that predicts whether a person is likely to have diabetes based on input medical parameters. The model is trained on the Pima Indians Diabetes Dataset.

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🚀 Demo

Try it live: https://diabetespredictionapp-qjybgkwkuxpfvmf8bmgrjd.streamlit.app/

📊 Features

• Input health parameters: Glucose, BMI, Age, etc.
• Predicts the likelihood of diabetes using a trained ML model.
• Clean and interactive UI built with Streamlit.
• Trained with RandomForestClassifier from scikit-learn.

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📁 Project Structure

diabetes-prediction-app/ │ ├── app.py # Streamlit application script ├── model.pkl # Trained ML model (Random Forest) ├── scaler.pkl # StandardScaler for input normalization ├── requirements.txt # Python dependencies ├── diabetes.csv # (optional) Dataset used for training └── README.md # Project documentation

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🧠 Tech Stack

• Python
• Pandas, NumPy
• Scikit-learn (ML model and preprocessing)
• Streamlit (for frontend/UI)

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