User Info Management with Diabetes Prediction

This repository contains a full-stack application for managing user information and predicting the probability of diabetes using a machine learning model. The application includes a React frontend and a Node.js backend.

Table of Contents

• Features
• Prerequisites
• Installation
• Running the Application
• Usage
• API Endpoints
• Project Structure
• Contributing
• License

Features

• User registration and login
• Goolge ReCaptcha impl
• Add and view user information (name, age, weight, height, gender)
• Predict diabetes probability using a pre-trained machine learning model

Prerequisites

• Node.js
• Python 3.x (for model conversion, if needed)
• MongoDB

Installation

Backend

1. Clone the repository:

   git clone https://github.com/atpk/todo-app.git
   cd todo-app/backend

2. Install dependencies:

   npm install

3. Create a .env file in the backend directory with the following content:

   MONGO_URI=your_mongo_uri_here
   JWT_SECRET=your_jwt_secret_here
   RECAPTCHA_SECRET_KEY=your_recaptcha_secret_key_here
   PORT=5000

4. Convert your ML model to ONNX format and place it in the backend directory.

Frontend

1. Navigate to the frontend directory:

   cd ../frontend

2. Install dependencies:

   npm install

3. Create a .env file in the backend directory with the following content:

   REACT_APP_BACKEND_URL=http://localhost:5000
   REACT_APP_RECAPTCHA_SITE_KEY=your_recaptcha_site_key_here

Installation

Backend

Start the backend server:

```bash
cd backend
node server.js
```

Backend

Start the frontend server:

```bash
cd frontend
npm start
```

Open your browser and navigate to http://localhost:3000.

Usage

1. Register a new user.
2. Log in with the registered user credentials.
3. Add user information (name, age, weight, height, gender).
4. View the added user information and the predicted diabetes probability.

API Endpoints

1. POST /register: Register a new user.
2. POST /login: Log in an existing user.
3. POST /todos: Add user information.
4. GET /todos: Retrieve user information.
5. POST /predict: Predict diabetes probability.

Project Structure

```
.
├── backend
│   ├── models
│   ├── routes
│   ├── server.js
|   ├── .env
│   └── model.onnx (your ONNX model file)
├── frontend
│   ├── public
│   ├── src
│   │   ├── components
│   │   ├── App.js
│   │   ├── index.js
│   └── .env
├── README.md
└── package.json
```

Contributing

Contributions are welcome! Please open an issue or submit a pull request.