You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Developed and deployed an algorithmic trading bot that runs 24/7 on a Raspberry Pi. The bot implements a simple moving average crossover strategy to trade stocks and cryptocurrencies. The project involved data fetching, strategy implementation, backtesting, and automation.
Explore the Raspberry Pi Learning Repository on GitHub for comprehensive resources and projects. Learn, create, and join the community to unleash your potential with this versatile single-board computer. Happy Raspberry Pi learning!
Amyotrophic Lateral Sclerosis (ALS), also known as motor neuron disease, is a disease that does not impair the mental functions of the patient, but gradually loses muscle control. However, the eyelids of the patient do not lose their function for a long time. For this reason, blink communication is a recommended solution for ALS patients. What i…
LoRa telemetry system using Raspberry Pi 4 and E22-900T22S (UART). Supports AES-128 encryption, CRC8 checksum, CSV logging, and data transfer via SCP. RSSI/SNR not available due to hardware limits. Ideal for simple wireless environmental data collection.
This repository gathers many of the features in the hardware that a JetsonNano or a Raspberry pi can provide, but also explores the capabilities that KivyMD can provide.
Application that connects to Unicorn Hybrid Black EEG via OpenVibe software. Synchronizes acquisition to eyetracker by sending external stimulations to eyetracker via RaspberryPi4.
This project presents an IoT-based Air Quality Index Monitoring System that measures indoor and outdoor harmful gases such as (NH3) using an MQ135 gas sensor and (CO) using an MQ7 sensor and Particulate Matter(PM10 ,PM2.5) Using SDS011 Sensor . The system displays air quality (PPM) on Adafruit IOT Platform facilitating easy monitoring
This project uses Raspberry Pi 4B GPIO, DTH11 sensor and Freenove library to sample humidity and temperate every 10secs using and save the datapoints to postgresdb on a network.
This is an ongoing university project with the goal of developing a smart, modular, and cost-effective robotic vacuum cleaner that can intelligently navigate and clean indoor environments using affordable sensors and compute power.
Traffic congestion problems caused by traffic lights stopping the vehicles on pedestrian crossing roads even though there are no pedestrians have been a common problem on busy roads. The project aims to create a fully automated traffic light environment that prevents traffic congestion by detecting if there are pedestrians trying to cross the road