Reads and writes floppy disks to play Spotify albums and playlists using a Raspberry Pi 4.
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Updated
Jun 30, 2020 - Python
The Raspberry Pi is a popular single-board computer designed to promote the teaching of computer science in schools. The use of the Raspberry Pi computer ranges from robotics to home automation. Many variations of the Raspberry Pi exist, such as the Raspberry Pi Zero, which is smaller than the more powerful Raspberry Pi 4.
Reads and writes floppy disks to play Spotify albums and playlists using a Raspberry Pi 4.
Code for a Raspberry Pi Baby Monitor with camera, microphone and temperature sensor.
Senior project repo belonging to Luis Rivera, Juwan English, and Anthony Lopez
Raspberry Pi 4 in kiosk mode
Python library to control an ST7735 TFT LCD display. Allows simple drawing on the display without installing a kernel module.
A musical instrument controlled through a webApp
Export PyTorch to ONNX and run inference in containerized environments.
Logging of an EZVIZ camera (CCTV ethernet based) into an hdd
A Python-based clock for the Raspberry Pi
Automated broadband speed tester bot that runs 3 times daily on my Raspberry Pi and tweets the results using the Twitter API.
Building an Autonomous Vehicles from scratch with concepts of Mechanical, Electrical, and Software integration.
In this project, we developed a Raspberry Pi-based robotic car equipped with a Pi Camera for fire detection as well as for live video feed. The car can be controlled remotely by the user through WiFi. Additionally, it gathers temperature and humidity data, sending it to a Google spreadsheet hosted in Google Drive for storage and analysis.
A Raspberry Pi-based webcam time-lapse capture and video creation tool. Easily start and stop captures with a tactile switch, and monitor status with LED indicators.
Python script for reading the temperature from an LM75 module connected to a Raspberry Pi 4
Detection of Cardiac Waveforms Using Remote Photoplethysmogram Technology
Small footprint info panel that listens, talks and shows useful info on an e-Paper display. 100% local speech transcription and generation.
Implementation of a voice assistant system on a Raspberry Pi 4.
Developing a text-to-speech device that can capture an image (containing text), extract the text from image using OCR, translate the text to a desired language using G-Translator, and generate audio for the translated text using Google Cloud TTS
Created by Raspberry Pi Foundation
Released July 2011