The usage of artificial intelligence (AI) technologies that depend on massive volumes of data, which are frequently made available through IoT, is thus directly related to the creation of smart governments. In order to increase the effectiveness of governance and the standard of living for citizens, Internet - of - things enabled AI technologies can be used in several important areas of smart government. In order to provide fulfilled government functions, AI and its subdomain innovations have the opportunity to address a number of current organizational inadequacies. In this chapter the foundations, benefits, and challenges implementing these technologies in the public sector or government are discussed. Following that, the various AI, Ml technologies and IoT frameworks for smart governance are explored. Then the focus is on the applications and use cases of IoT, AI and machine learning for smart governance.

Accuracy is among the most important factors in a disease diagnosis. It is essential to select the characteristics that you find most pertinent for the highest accuracy. This study aims to more accurately predict the presence of the primary stage of squamous cell carcinoma using fewer indicators. Stages of oral cancer were first demonstrated to be predicted by 25 features. The variety of features that are obtained from various patient records is indirectly decreased in this study through the combination of the unified medical system using hybrid features selection techniques to identify the characteristics that are most useful for the identification of oral cancer. Hybrid feature selection has been used to condense 25 qualities into 14 features. The diagnosis of patients with oral cancer is then predicted using four classifiers: Updatable Naive Bayes, Multilayer Perceptrons, K-Nearest Neighbor, and Support Vector Machines. Also, the data show that, after adding feature development decisions with SMOTE during the preprocessing phases, the support vector machine’s performance surpasses other machine learning techniques.

A Bike rental expectation conjectures the interest for bikes rentals in reliance of climate conditions like the temperature and calendric data. In bike rental frameworks, it is vital that the managers have to realize the number of bikes to be placed in each and every station. This include empowers them in or-ganizing the necessary number of bikes at each station and choose whether a specific station needs to have additional number of bikes or it is not re-quired. In this venture we will foresee the no of bikes required for explicit climate and climatic conditions.

Given the increasing importance of technology in meeting human needs, its utilization has become crucial. In contemporary democracies, where public trust in governments is declining and elections play a pivotal role, the widespread adoption of technology has led to new challenges. Elections hold significant importance as they determine the future leaders of countries or organizations. However, certain computerized voting systems have faced criticism for their lack of transparency. Establishing public trust in the government is a formidable task due to the lack of transparency and susceptibility to exploitation in existing voting procedures. Both traditional and current digital voting systems are ineffective due to their vulnerabilities. The main objective is to address issues in conventional and electronic voting systems, including errors and unfairness that may arise during the voting process. Integrating blockchain technology into the electoral process can ensure fair elections and reduce unfair practices. The computerized voting methods do not meet the necessary standards for widespread usage, and the physical voting systems also face numerous issues. This underscores the importance of finding a solution to protect the democratic principles of citizens. By offering a fast and secure voting method, this system has the potential to bring about a revolutionary change in the electoral process. It could lead to higher voter participation and more accurate election results. The proposed approach presents a framework for digital voting using blockchain technology, eliminating the need for physical polling locations. Our suggested design incorporates adaptable consensus algorithms to support a scalable blockchain. Smart contracts ensure secure interactions between users and the network during transaction execution. The security aspects of the blockchain-based voting mechanism have also been addressed, including the use of cryptographic hashes for transaction encryption and prevention of 51% attacks. Furthermore, blockchain technology has been utilized to establish transaction systems throughout the voting process. Performance studies of the proposed system demonstrate its feasibility for deployment in large populations.