🩺 Diabetes Prediction for Female Patients 💻

🌟 Overview

This project is a web application designed to predict diabetes in female patients using machine learning. The application allows users to input various health attributes and receive a prediction on whether the patient has diabetes. The goal is to provide early detection and awareness. 🤖💡

🚀 Setup and Installation

1. Clone the repository:

   git clone https://github.com/aurelioo29/Diabetes-Prediction-App.git

   cd Diabetes-Prediction-App

2. Create a virtual environment:

   python -m venv env

   • On macOS/Linux:

   source env/bin/activate

   • On Windows:

   env\Scripts\activate

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up the database:

   • Ensure you have MySQL installed and running. 🛠️
   • Create a database named diabetes_prediction. 📊
   • Run the SQL script and import the diabetes_prediction.sql file into the database.

5. Run the Flask application:

   python app.py

6. Access the application:

   Open your web browser and navigate to http://127.0.0.1:5000. 🌐

📝 Usage

1. Fill out the form with the required health attributes. 🏥
2. Click the "Prediksi" button to get the prediction. 🔮
3. The prediction result will be displayed along with the input data and classification report. 📊

📦 Dependencies

This project uses the following dependencies:

• Flask
• Flask-SQLAlchemy
• MySQL-connector-python
• PyMySQL
• scikit-learn
• numpy
• scipy
• joblib

🤝 Contributing

I welcome contributions! 🙌 Please fork the repository and submit a pull request. Together, we can improve this application. ✨