🩺 Diabetes Prediction using Machine Learning and Django

This project predicts the likelihood of diabetes in a person based on health parameters using a machine learning model integrated with a Django web application.

🚀 Features

• ✅ Predicts diabetes status using input medical data
• 🧠 Machine Learning model trained on the Pima Indian Diabetes dataset (diabetes.csv)
• 🌐 User-friendly web interface built with Django
• 📁 Organized folder structure with separate modules for the ML model, app views, and static assets

📁 Project Structure

├── DiabetesPrediction # Django project directory

├── app # Django app with views, templates, and forms

├── static # Static files (CSS, JS)

├── diabetes.csv # Dataset used for training the model

├── manage.py # Django management script

└── README.md # Project description

🛠️ Getting Started

1. 📥 Clone the repository
2. 🧩 Install dependencies
3. 🔧 Run migrations
4. ▶️ Start the server
5. 🌐 Access the web interface at http://127.0.0.1:8000/

📊 Dataset

This project uses the Pima Indian Diabetes Dataset, which includes features such as:

• Pregnancies
• Glucose
• Blood Pressure
• Skin Thickness
• Insulin
• BMI
• Diabetes Pedigree Function
• Age

📌 Note

Ensure all dependencies (like scikit-learn, pandas, Django, etc.) are installed in your environment.