Published Paper Details:

Artificial Intelligence (AI) has gained popularity in both technological media and academic circles. Computers will take over roles that used to be assigned to human engineers and developers. Machine Learning (ML), in particular, is a branch of AI that describes one of the basic assumptions of AI the capacity to learn from experience rather than simple instructions. Methods of ML, Supervised and Unsupervised Learning are two forms of ML that employ different methodologies to train the system. Supervised and Unsupervised Learning are subcategories of Classification, Regression, and Clustering. It is imperative to recognize the value of data and data transmission in the age of computers. Hence, the Internet of Things (IoT) avails a proper technological system with different software and platforms for data transmission between different devices and computer systems. A big data definition can be defined as very large volumes of complex data generated by a variety of software programs, applications, and devices that provide a constant stream of identification and analysis. In this paper, we'll analyze the results and outcomes of combining AI, ML, Blockchain, and IoT technologies.