IoT Predictive Maintenance System in Python | Real-Time Anomaly Detection with MQTT
Demo : Click Video 👇👇👇 Features: Embed YouTube Video 🎥 Add screenshots of GUI + code snippet SEO keywords → Python IoT Project, Predictive Maintenance App, MQTT HiveMQ Python, Tkinter IoT GUI Code : import tkinter as tk from tkinter import ttk, messagebox import paho.mqtt.client as mqtt import json import random import threading import time # MQTT Configuration MQTT_BROKER = "broker.hivemq.com" MQTT_PORT = 1883 MQTT_TOPIC = "fuzzutech/iot/anomaly" # Global Variables anomaly_detected = False # MQTT Callbacks def on_connect(client, userdata, flags, rc): print(f"Connected to MQTT Broker with result code {rc}") client.subscribe(MQTT_TOPIC) def on_message(client, userdata, msg): global anomaly_detected payload = json.loads(msg.payload.decode()) sensor_value = payload['sensor_value'] print(f"Received Sensor Value: {sensor_value}") # Simple anomaly detection logic ...