Diabetes-Prediction

Welcome to our Diabetes Prediction Website! Our platform offers a unique opportunity for users to gain insights into their potential risk of developing diabetes by leveraging predictive analytics and visualization techniques.

Website Link :- https://diabetes-prediction-gamma.vercel.app/

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About Our Project 🌟

✨ Key Features

• 🔍 Prediction Page: This page lets you type in your personal details and health info. After that, it gives you an idea of how likely you are to get diabetes. It's like having a little crystal ball for your health!

• 📊 Visualization Page: Here, you get to see colorful charts and graphs that show how different things, like your weight or blood sugar levels, might affect your chances of getting diabetes. It's like watching a fun picture book about your health!

• ℹ️ About Page: Our About Page offers a detailed overview of the Diabetes Prediction Website, elucidating its purpose, features, and the dedicated team driving its development. It serves as a hub of information, empowering users with insights into their health risks while highlighting our mission to democratize predictive analytics for proactive wellness.

🛠 Technologies Used

🖥 Frontend

⚙️ Backend

📈 Data Analysis and Prediction

📉 Data Visualization

⚡️ Installation

To set up the project locally, follow these steps:

1. 📥 Clone the Repository

git clone <repository_url>
cd diabetes-prediction-website

2. 📦 Install Dependencies

Frontend

cd client
npm install

Backend

cd ../server
pip install -r requirements.txt

3. 🚀 Run the Development Server

Start Frontend Development Server

cd client
npm run dev

Start Backend Development Server

cd ../server
python app.py

Kindly go through CONTRIBUTION.md to understand everything from setup to contributing guidelines.

If you would like to contribute to the project, please follow our contribution guidelines.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

This project is licensed under the MIT License.

GitHub Repository Stats

💬 Acknowledgements

We would like to thank the contributors and the community for their support and feedback !!

If you find this project interesting and inspiring, please consider showing your support by starring it on GitHub!