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https://github.com/bamacharanchhandogi/diabetes-prediction

This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.
https://github.com/bamacharanchhandogi/diabetes-prediction

css diabetes-dateset-analysis diabetes-prediction diabetes-prediction-model flask gssoc gssoc24 html javascript kaggle linear-regression python reactjs tailwindcss

Last synced: about 2 months ago
JSON representation

This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.

Host: GitHub
URL: https://github.com/bamacharanchhandogi/diabetes-prediction
Owner: BamaCharanChhandogi
Created: 2024-05-02T18:01:30.000Z (8 months ago)
Default Branch: main
Last Pushed: 2024-05-28T20:38:23.000Z (7 months ago)
Last Synced: 2024-05-29T04:31:34.589Z (7 months ago)
Topics: css, diabetes-dateset-analysis, diabetes-prediction, diabetes-prediction-model, flask, gssoc, gssoc24, html, javascript, kaggle, linear-regression, python, reactjs, tailwindcss
Language: Jupyter Notebook
Homepage: https://diabetes-prediction-gamma.vercel.app/
Size: 2.36 MB
Stars: 1
Watchers: 1
Forks: 7
Open Issues: 22
Metadata Files:
- Readme: readme.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

DIABETES PREDICTION WEBSITE

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/

## 🏆 Featured in:

Event Logo
Event Name
Event Description

GSSoC 24
GirlScript Summer of Code 2024
GirlScript Summer of Code is a three-month-long Open Source Program conducted every summer by GirlScript Foundation. It is an initiative to bring more beginners to Open-Source Software Development.

## About Our Project 🌟

Our Diabetes Prediction Website offers a user-friendly platform for individuals to assess their risk of developing diabetes. By inputting demographic and health data, users receive personalized predictions generated through advanced machine learning algorithms. Our visualization tools provide clear insights into the relationships between various risk factors and diabetes development likelihood. Transparency is key, as our about page offers details on our mission, team, and commitment to data security. Our goal is to empower individuals with actionable insights to make informed decisions for better health outcomes.

## ✨ 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
```bash
git clone
cd diabetes-prediction-website
```

### 2. 📦 Install Dependencies

#### Frontend
```bash
cd client
npm install
```

#### Backend
```bash
cd ../server
pip install -r requirements.txt
```

### 3. 🚀 Run the Development Server

#### Start Frontend Development Server
```bash
cd client
npm run dev
```

#### Start Backend Development Server
```bash
cd ../server
python app.py
```

Ready to Contribute?

Kindly go through [CONTRIBUTION.md](https://github.com/BamaCharanChhandogi/Diabetes-Prediction/blob/main/CONTRIBUTION.md) to understand everything from setup to contributing guidelines.

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

Code of Conduct

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