Rpi Spotify Matrix Display

Spotify display for a 64x64 matrix (raspberry pi project v2/v3)

Internet of Things (IoT)PythonGPL-3.0

Abstract

Rpi Spotify Matrix Display is an open-source Internet of Things (IoT) project. Spotify display for a 64x64 matrix (raspberry pi project v2/v3). rpi-spotify-matrix-display A Spotify display for 64x64 RGB LED matrices.Run on a Raspberry Pi connected to a matrix, or just play around using the emulator! It is built using Python, Raspberry Pi. The complete source code is publicly available on GitHub under the GNU General Public License v3.0, making it a useful reference for students building an Internet of Things (IoT) mini project or final-year project.

1. Introduction

rpi-spotify-matrix-display A Spotify display for 64x64 RGB LED matrices.Run on a Raspberry Pi connected to a matrix, or just play around using the emulator!

2. Objective

Spotify display for a 64x64 matrix (raspberry pi project v2/v3)

This project demonstrates how Python, Raspberry Pi can be applied to a real-world Internet of Things (IoT) problem.

4. Technology Stack

PythonRaspberry Pi

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • Python 3.8 or later
  • pip / virtualenv for dependencies
  • VS Code, PyCharm or Jupyter Notebook
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/kylejohnsonkj/rpi-spotify-matrix-display.git
cd rpi-spotify-matrix-display
  1. Go to the Spotify Developer Dashboard
  2. Create a new app _(name/description can be anything)_
  3. Add http://127.0.0.1:8080/callback to Redirect URIs
  4. Save and copy the Client ID and Secret for later
  5. Download and open the Raspberry Pi Imager
  6. Select your Raspberry Pi
  7. Select Raspberry Pi OS (other) - Raspberry Pi OS Lite (64-bit)
  8. Select your microSD card
git clone https://github.com/kylejohnsonkj/rpi-spotify-matrix-display

cd rpi-spotify-matrix-display

make          # The Makefile does it all for you!

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Add a mobile dashboard using Blynk or Firebase
  • Store readings in a cloud database for history charts
  • Add alerts via SMS / Telegram when thresholds are crossed

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which microcontroller / board and sensors are used and why?
  2. How does the device send data (Wi-Fi, MQTT, HTTP, Bluetooth)?
  3. Where is the sensor data stored and visualised?
  4. How is power consumption managed?
  5. How would you secure the device and its communication?

9. Source Code & License

This project is developed by kylejohnsonkj and published on GitHub under the GNU General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.

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