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Karen Londres
Karen Londres

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Client Assistance Button for Spa Beds Connected to Python Server

In today’s rapidly evolving wellness industry, enhancing client comfort and care is paramount. Spas and Medspas are integrating technology to provide seamless experiences and prompt services. One such innovation is the integration of a client assistance button—a simple yet powerful addition that enables clients lying on treatment beds to request help without moving or speaking. This becomes especially important in a luxury wellness setting like a Medspa.

In this post, we’ll explore how to create a client assistance button system, connected to a Python server. We’ll cover the hardware and software components, and how it can improve customer service in your Medspa.

Why a Client Assistance Button?

Imagine a client undergoing a treatment—perhaps a skin rejuvenation session or body contouring procedure—wishing to ask for a blanket, water, or to adjust the room temperature. Instead of calling out or using their phone, they simply press a discreet button attached to the treatment bed. Instantly, staff members receive an alert via a dashboard or mobile device.

This level of care and responsiveness is becoming the standard for forward-thinking Medspa environments.

In a highly competitive market like Chicago, standing out as a premier Medspa in Chicago requires more than skilled aestheticians and luxurious interiors. It’s about providing a high-touch experience. The client assistance button adds to this by showing care and consideration.

Hardware Requirements

To build this solution, you need:

  • Raspberry Pi (any model with GPIO pins)
  • Push button switch
  • Breadboard & jumper wires
  • Resistor (10k Ohm)
  • WiFi connectivity

You’ll connect the button to a GPIO pin on the Raspberry Pi and configure it to trigger an event handled by a Python Flask server.

Setting Up the Button on Raspberry Pi

Let’s wire the button to the GPIO pin. Here’s a simple schematic:

  • One leg of the button to GPIO17
  • Other leg to GND
  • Pull-up resistor between 3.3V and the GPIO pin

Python code using the RPi.GPIO library:

import RPi.GPIO as GPIO
from time import sleep
import requests

BUTTON_PIN = 17

GPIO.setmode(GPIO.BCM)
GPIO.setup(BUTTON_PIN, GPIO.IN, pull_up_down=GPIO.PUD_UP)

try:
    while True:
        button_state = GPIO.input(BUTTON_PIN)
        if button_state == False:
            print("Button Pressed")
            requests.post("http://<server-ip>:5000/alert", json={"message": "Client requesting assistance"})
            sleep(1)

except KeyboardInterrupt:
    GPIO.cleanup()
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To test this, you can connect a small LED that blinks when the button is pressed:

LED_PIN = 27
GPIO.setup(LED_PIN, GPIO.OUT)

# Inside the loop
if button_state == False:
    GPIO.output(LED_PIN, GPIO.HIGH)
    sleep(0.5)
    GPIO.output(LED_PIN, GPIO.LOW)
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Python Server with Flask

Now, let’s set up a simple Flask server to handle incoming alerts:

from flask import Flask, request
import datetime

app = Flask(__name__)

@app.route('/alert', methods=['POST'])
def alert():
    data = request.get_json()
    print(f"[ALERT] {datetime.datetime.now()} - {data['message']}")
    # Further actions can be added here (email, notification, etc.)
    return {"status": "received"}, 200

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=5000)
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Add webhook integration with Slack or Telegram:

import requests

def send_notification(message):
    url = 'https://hooks.slack.com/services/XXXX/YYYY/ZZZZ'
    payload = {"text": message}
    requests.post(url, json=payload)
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Now integrate it into the alert handler:

send_notification(data['message'])
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This basic API listens for POST requests and prints an alert in the terminal. You can expand this to integrate with SMS, mobile notifications, or web dashboards.

Treatments like Coolsculpting in Chicago involve clients remaining still for extended periods. A client assistance button ensures they remain comfortable and have their needs met without interrupting the session or disrupting the cooling equipment.

Integrating with a Dashboard (Optional)

You can use JavaScript or React to build a real-time dashboard. For example, you might use Socket.IO to display real-time alerts for staff in a central admin panel.

// Simplified Socket.IO client
const socket = io("http://<server-ip>:5000");
socket.on("new-alert", (data) => {
  alert(`Assistance Requested: ${data.message}`);
});
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Server-side, add Socket.IO support using flask-socketio:

from flask_socketio import SocketIO
socketio = SocketIO(app)

@socketio.on('connect')
def on_connect():
    print('Client connected')

# Emit from alert handler
socketio.emit('new-alert', {'message': data['message']})
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Run the server using:

if __name__ == '__main__':
    socketio.run(app, host='0.0.0.0', port=5000)
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During sensitive procedures like Laser Hair Removal Chicago, clients may experience discomfort or wish to ask questions. The button gives them peace of mind, knowing they can reach out instantly.

Benefits for Staff and Operations

  • Efficiency: Staff know exactly when and where a client needs attention.
  • Discretion: Clients don’t need to speak or move significantly.
  • Insight: Logs from the server can inform staff training and resource allocation.

Enhancing the Spa Experience with IoT

Integrating IoT in wellness spaces is not about technology for its own sake—it’s about reinforcing care. This simple button, paired with a Python backend, can elevate the client experience and provide measurable operational benefits.

Moreover, this opens the door to other smart integrations: temperature control, ambient music adjustments, or even remote locking mechanisms—all triggered by similar button interfaces.

Final Thoughts

While this may seem like a small addition, a client assistance button exemplifies what modern spas should aim for: blending technology with empathy. The Python ecosystem, especially with Raspberry Pi, makes this project affordable, scalable, and incredibly flexible.

If you're running a spa or Medspa, consider piloting this system in one room. Gather feedback, iterate, and gradually scale.

This is just the beginning of how intelligent systems can redefine wellness experiences.

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