Livabetic

Livabetic is a web application designed to help diabetics manage their blood sugar levels by logging and visualizing their daily readings, nutrition, and exercise data. This app was developed as a final project at Lighthouse Labs, combining real-world needs with newly acquired coding skills.

Features

• User authentication and session management with Passport.js.
• CSV data import for logging blood sugar levels and other health metrics.
• Visualization of blood sugar levels, insulin intake, and nutritional information using Plotly.
• Integration with Twilio for sending SMS reminders to users.
• Web scraping of nutritional data from MyFitnessPal using Cheerio.

Tech Stack

• Node.js: Backend runtime environment.
• Express: Web framework for routing and server setup.
• Sequelize: ORM for managing PostgreSQL database interactions.
• PostgreSQL: Relational database management system.
• EJS: Templating engine for generating dynamic HTML.
• Passport.js: Middleware for user authentication.
• Twilio: API for sending SMS reminders.
• Multer: Middleware for handling file uploads.
• Cheerio: Library for web scraping.
• Plotly: Library for data visualization.

Installation and Setup

Prerequisites

• Node.js (version 6.2.1 or higher)
• PostgreSQL

1. Clone the Repository

git clone https://github.com/yourusername/livabetic.git
cd livabetic/myapp

2. Install Dependencies

npm install

3. Configure the Database

Ensure that PostgreSQL is installed and running. Create a database named livabetic and update the database credentials in config/database.js.

var connection = new Sequelize('livabetic', 'yourusername', 'yourpassword', {
  host: 'localhost',
  dialect: 'postgres',
  ...
});

4. Set Up Environment Variables

Create a .env file in the root directory to store environment variables. Include your Twilio credentials and any other necessary configurations.

TWILIO_ACCOUNT_SID=your_account_sid
TWILIO_AUTH_TOKEN=your_auth_token
SENDING_NUMBER=your_twilio_number

5. Run Database Migrations

npx sequelize db:migrate

6. Start the Application

npm start

The app will start on http://localhost:3000.

Usage

1.	Sign Up: Create an account to start logging your data.
2.	Upload Data: Use the CSV upload feature to import your blood sugar readings and other health metrics.
3.	View Dashboard: Access the dashboard to see visualizations of your data.
4.	Set Reminders: Use the reminders feature to receive SMS notifications.

Contributing

Feel free to submit issues or pull requests if you’d like to contribute to the project.

License

This project is licensed under the MIT License.