Diabetes Prediction System 🩺💻

This project is a web-based diabetes prediction tool that uses machine learning to assess the likelihood of a person having diabetes based on key health indicators.

🚀 Features User-friendly UI built with React & Bootstrap Predicts diabetes risk based on input health parameters Machine Learning Model deployed with Flask Stores user data in a MySQL database Responsive Design for all devices

🛠️ Tech Stack Frontend: React, Bootstrap Backend: Flask Database: MySQL ML Model: Trained using Scikit-Learn

📌 Installation & Setup

1️⃣ Clone the Repository bash Copy Edit git clone https://github.com/your-username/diabetes-prediction.git cd diabetes-prediction

2️⃣ Backend Setup (Flask) Navigate to the backend folder: bash Copy Edit cd backend Install dependencies: bash Copy Edit pip install -r requirements.txt Run the Flask server: bash Copy Edit python app.py The backend will start at http://localhost:5000.

3️⃣ Frontend Setup (React) Navigate to the frontend folder: bash Copy Edit cd frontend

Install dependencies: bash Copy Edit npm install Start the React app: bash Copy Edit npm start The frontend will be live at http://localhost:3000.

⚙️ Usage Enter your health data (Glucose, BMI, Blood Pressure, etc.). Click "Predict" to check your diabetes risk. View the prediction result and probability.

📦 Deployment Frontend (React): Hosted on GitHub Pages / Vercel / Netlify Backend (Flask): Hosted on Render / Railway / Heroku Database (MySQL): Hosted on PlanetScale / AWS RDS

📜 License This project is open-source and available under the MIT License.