Generic Framework of New Era Artificial Intelligence and Its Applications

Since many years ago, scholars have been interested in human-computer communication. The interface between humans as well as computers can be carried out in a variety of ways. Chatbots are a common method for carrying out a conversation. A Chabot system is a computer application that facilitates engaging and simple conversation. Current artificial intelligence techniques perform poorly even when responding to user queries in the most appropriate manner. As a result, industries currently favor rule-based Chabot systems. Artificial intelligence can correctly and consistently anticipate outcomes. The methods have been used in a variety of businesses, academic fields, and contexts. Furthermore, the majority of study has been conducted in industrialized nations, with little work from other economies published. As a consequence, an appropriate research foundation is required for AI applications to be long-term and successful. The goal of this research is to critically evaluate many studies that have used AI in various areas to create a theoretical framework guide for academics and practitioners. This framework will also help to define future research trends in the field. Additional elements of AI that affect the design and functioning of the framework model in practice are the organizational structure and technological specification. A model-based approach that maintains uniformity in research, industry, and academia is required given the present use of AI methodologies. In the present situation, we can use establishing a long-term practice may need a paradigm shift in the framework-based approach. The use case illustrated how the proposed method may be applied for educational purposes to instruct vision-based component orientation recognition using humanizer bot models. Investigating Chatbots’ potential as student mentors.