Car Dashboard Project

Overview

This project is a car dashboard built using Next.js, designed to display real-time data retrieved from the OBD-II port of your car 🚗. The primary goals of this project are to gain a better understanding of real-time data handling 📊, data storage 🗄️, and management, while also providing an opportunity to practice and enhance my front-end development skills.

Demonstration

Demonstrations, including images and videos, will be added soon. Here are some images with dummy data for now.

Usage

To get started, you'll need an OBD2 Scanner. I'm using a Bluetooth scanner, specifically this one: VEEPEAK OBD. It's been reliable, but remember to unplug it once you're finished using it.

Additionally, you'll also need a computer. I make use of both my laptop and Raspberry Pi. When working with the Raspberry Pi, I have it hook up to a 7-inch touchscreen monitor specifically designed for it: Freenove 7 Inch Touchscreen Monitor for Raspberry Pi. It works great, and I've even designed a 3D-printed case, which I plan to share here later for anyone interested in printing it.

todo

Contributing

Feel free to contribute to this project if you are interested.

Desktop Application

If you prefer working with desktop applications (which is the preferred method for this use case), follow these steps:

1. Install necessary dependencies:

   npm install

2. Next, I suggest running the Python script test_app.py to send fake data through Websocket to aid development. You have two options for running the script:

   • Using Docker: Run the following command:

     docker compose up server

   • Running Locally: If you don't have Docker installed, you can run the script locally. Start by creating a virtual environment for Python and installing the required dependencies:

     pip install -r requirements.txt

3. Once the Python script is running using one of the methods suggested above, open a new terminal and execute the following command:

   npm run tauri dev

Web Application

If you prefer working with web applications, I highly suggest using Docker. Make sure you have Docker installed on your development device, and simply run:

docker compose up

Tech Stack

• Next.js
• Tauri
• MongoDB
• Docker
• Javascript
• Python
• Websocket

What's next?

• Implement new pages.
  • Enhance car statistics with additional metrics.
  • Create a page to display hardware resource data, such as Raspberry Pi performance metrics.
• Optimizations
• Store the data in a database for further data analysis.