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Chatbots are being used in a wide variety of industries, ranging from industry to education. It is not as effective when using traditional ways of developing a chatbot system as it is when using machine learning (ML). Historically, they were created using finite-state machines, rule-based systems, and knowledge bases. Although these technologies had shortcomings, they were nonetheless employed to create chatbots. This is because natural language processing and neural network technology have simplified the task of conversational AI systems categorizing intentions and locating persons and places. Many people have asked us how we created an Arabic chatbot that understands real language, and we'd like to demonstrate how we achieved it. It is capable of responding, acting on behalf of the user, and retaining the context of a communication between two persons. We employed models such as FastText and BERT, which may be used in multiple languages concurrently. Additionally, we employed two pipeline components that we created specifically for this project. [ABSTRACT FROM AUTHOR]

The rapid development with the advancement of the state in civilization and technology, it has become important to involve people with special needs in society by giving them ways to communicate using sign language so that they can express themselves and join the community rather than being a financial burden on the state. In this research, a serious method has been proposed and developed for sign language communication for deaf and dumb people to communicate using sign language for Arabic letters. It is a mechanical phrase from the palm of the hand that can be used to teach sign language to deaf and dumb people and translate sign language into Arabic when linked to a mobile app that can talk to the palm of an industrial robot through text and voice letters. Each sign in the fingers of the hand means a letter. This system has been tested on a group of people with special needs and has proven successful. About 90% of people are satisfied with the system as a whole, which means it works well. The system using the programming environments Arduino IDE (C++) and MIT App Inventor and the palm of an industrial robot was manufactured locally. [ABSTRACT FROM AUTHOR]