Looking for Freelancer with Knowledge in Raspberry Pi 5 and Python
Budget: $10 – $30 USD
I am looking for a freelancer with experience in Raspberry Pi 5 and Python programming for an automation project. The project involves the following:
Components:
- 16×2 LCD display
- DHT11 temperature and humidity sensor
- 4 HC-SR505 motion sensors
- 4 KY-038 microphone sensors
- UV LEDs
- RGBW LED strip
Project requirements:
1. Light and sound control: The motion sensors are required to change the color of the RGBW LED strip according to the frequency of the music, which will be detected by the KY-038 microphones. The color and motion must be synchronized in real time.
2. Temperature and humidity monitoring: The DHT11 sensor should continuously measure temperature and humidity, displaying updated values on the 16×2 LCD display.
3. Component autonomy: The LED strip and microphone functions should be independent of the DHT11 sensor and LCD display. Buttons should be included to activate each part of the program individually.
The ideal candidate should have experience working with the mentioned sensors and components, and should be able to integrate everything into a single program that runs efficiently on the Raspberry Pi 5.
Components:
- 16×2 LCD display
- DHT11 temperature and humidity sensor
- 4 HC-SR505 motion sensors
- 4 KY-038 microphone sensors
- UV LEDs
- RGBW LED strip
Project requirements:
1. Light and sound control: The motion sensors are required to change the color of the RGBW LED strip according to the frequency of the music, which will be detected by the KY-038 microphones. The color and motion must be synchronized in real time.
2. Temperature and humidity monitoring: The DHT11 sensor should continuously measure temperature and humidity, displaying updated values on the 16×2 LCD display.
3. Component autonomy: The LED strip and microphone functions should be independent of the DHT11 sensor and LCD display. Buttons should be included to activate each part of the program individually.
The ideal candidate should have experience working with the mentioned sensors and components, and should be able to integrate everything into a single program that runs efficiently on the Raspberry Pi 5.