I built a 24/7 AI agent with Python and a Raspberry Pi

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I’ve spent a lot of time wrestling with automation. Not the kind that involves fancy dashboards and complex workflows, but the kind that just quietly, persistently does things. I was tired of manually checking my smart home devices, tweaking settings, and generally feeling like I was fighting the technology instead of leveraging it. So, I built something a little different: a 24/7 AI agent running on a Raspberry Pi.

The Problem: Reactive, Not Proactive

Let’s be honest, most smart home integrations feel reactive. You tell them to turn on the lights when motion is detected, and that's it. But what if you wanted to proactively adjust the thermostat based on weather forecasts, or send a notification if the humidity in the basement started creeping up? Existing solutions felt clunky, relied on cloud services (which felt slow and unreliable), and weren’t truly integrated with my devices. I wanted something local, responsive, and, frankly, a little more intelligent.

The Solution: A Simple Python Agent

The core of this project is a Python script that uses the `requests` library to periodically fetch weather data from a free API (OpenWeatherMap in this case) and then makes adjustments to my smart thermostat. It’s surprisingly effective, and the beauty of it is its simplicity. Here’s a snippet:

import requests
import json
import time
Replace with your OpenWeatherMap API key
API_KEY = "YOUR_API_KEY"
CITY = "London"
def get_weather():
url = f"http://api.openweathermap.org/data/2.5/weather?q={CITY}&appid={API_KEY}&units=metric"
response = requests.get(url)
data = json.loads(response.text)
return data
def adjust_thermostat(temperature):
 Simulate thermostat adjustment (replace with your actual logic)
print(f"Adjusting thermostat to: {temperature}°C")
 In a real implementation, you'd use a library to control your thermostat
pass
if name == "main":
while True:
weather_data = get_weather()
temperature = weather_data['main']['temp']
adjust_thermostat(temperature)
time.sleep(3600)  Check every hour
```



Let's break down the key lines:


`get_weather()`: Fetches weather data from OpenWeatherMap.
`adjust_thermostat()`:  Simulates adjusting the thermostat.  Crucially, this is where you’d integrate with your specific thermostat’s API or control method.
`time.sleep(3600)`:  Pauses the script for one hour (3600 seconds) before checking the weather again.


Practical Results

After a few tweaks (mostly around the thermostat adjustment function – I haven’t integrated with a real thermostat yet!), the agent consistently lowered the thermostat when it detected rain, and even slightly increased it on sunny days.  It’s not perfect, but it's a significant improvement over manual control and provides a baseline level of proactive automation. The Raspberry Pi handled the processing with ease, and the whole setup runs silently in the background.

Conclusion & Next Steps

This project demonstrates that powerful automation doesn’t always require complex systems.  A small, focused Python agent running on a low-power device like a Raspberry Pi can deliver significant value.  If you're looking to streamline your smart home or explore local automation solutions, I'd love to chat about how I can help.  

Explore my automation consulting services and let’s build something amazing together.





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Itelnet Consulting