Book Image

Artificial Intelligence for IoT Cookbook

By : Michael Roshak
Book Image

Artificial Intelligence for IoT Cookbook

By: Michael Roshak

Overview of this book

Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users’ lives easier. With this AI cookbook, you’ll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You’ll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you’ll learn how to deploy models and improve their performance with ease. By the end of this book, you’ll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems.
Table of Contents (11 chapters)

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In addition to putting all of the data into a topic so that it can be dumped into a data store, we can stream the data into an alerting system. To do this, we can make a Kafka consumer, as shown in the following code. Here, we will stream the code down to a local system and then have a msg_process function that we can use to write to an alert system such as Twilio:

from confluent_kafka import Consumer

conf = {'bootstrap.servers': "host1:9092,host2:9092",
'group.id': "foo",
'kafka.security.protocol':'SASL_SSL,
'kafka.sasl.mechanism':'PLAIN',
'kafka.sasl.jaas.config': 'kafkashaded.org.apache.kafka.common.security.plain.PlainLoginModule required username=\"Kafka UserName\" password=\"Kafka Password\";')
'auto.offset.reset': 'smallest'}

running = True
consumer = Consumer(conf)
consumer.subscribe(&apos...