TECHNICAL ASPECTS OF CREATING AN EFFECTIVE PROGRAM FOR IOT DEVICES WITH ARTIFICIAL INTELLIGENCE IN PYTHON
Ключевые слова:
Keywords: Internet of Things (IoT), Artificial Intelligence (AI), TensorFlow, libraries : scikit-learn and paho-mqtt , real-time processing, security.Аннотация
Abstract: The Internet of Things (IoT) has transformed industries by enabling interconnected devices to collect, process, and share data in real-time. When integrated with Artificial Intelligence (AI), IoT devices can perform intelligent tasks such as predictive maintenance, anomaly detection, and automated decision-making. Python, with its extensive libraries like TensorFlow, scikit-learn, and paho-mqtt, is a powerful language for developing AI-driven IoT programs. However, creating effective programs for IoT devices involves addressing technical challenges such as resource constraints, real-time processing, and security. This article explores the technical aspects of developing AI-driven IoT programs in Python, providing fresh methods, solutions to challenges, new mathematical formulations, and novel algorithms to ensure efficient and secure implementations.
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