Table of ContentsSummaryIntroductionLiterature ReviewObjectiveArchitecture of VISA BotUse Case DiagramBusiness DiagramSummaryNow getting a VISA is becoming more difficult day by day and for this reason, most VISA applicants are rejected the VISA interview due to lack of communication skills and proper training. An interactive computer program would encourage the user to complete maintenance training. Additionally, interview training and instructions may be costly for the applicant. From an interactive program, the user can get an idea and prepare accordingly for the actual VISA interview. This article proposes a VISA chatbot that will help the candidate prepare for the interview. Instead of traditional Chatbots which are rule-based bots, this Chatbot will use automatic algorithms to assist VISA applicants. This Chatbot will reside in a Facebook page as it will be easier for candidates to simply access the Facebook page, instead of downloading the Chatbot app. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original essayIntroductionChatbots are the new generation of programs capable of interacting with humans. Almost all chatbots have two components. The first component is the message entered by the user or an audio message and the second component is the message sent by the chatbot. The entire process is repeated until the user decides to end the interaction. The conversation takes place between a human and a computer program programmatically. For example, ELIZA was the first chatbot to capture keywords from the user's message and respond accordingly. Chatbots can also help businesses generate revenue by providing advanced healthcare services. Literature Review Chatbots have been around since the mid-1960s. In 2007, Bayan spoke about using chatbot for educational purposes. He said that “chatbots could be used as a tool to learn or study a new language; a tool for accessing an information system, a tool for viewing content; and a tool to give answers to questions in a specific domain… a chatbot could be trained with any text in any language” [3]. So, in 2013, Patrick and Bii followed Bayan's statement and developed a chatbot technology whose main goal was to unlock the potential of students and use the chatbot for educational purposes. They used XML to store the questions and the answer to the question. Parab and Archana (2017) did a recent project on a career guidance chatbot in which the user will ask for career guidance from the robot that used the same NLP. Another similar recent project was carried out by Cameron and Gillian (2017), in which the chatbot was used for mental health counseling purposes and developed into a fully web-based program. Polatidis and Nikolaos (2014) developed their robot that will handle university admissions. Applicants will ask the admission bot about the college admission process and the bot will respond accordingly along with other information such as accommodation, tuition fees, and eligibility criteria. Amilon and Mattias (2015) created a chatbot that used a common sense database. A common sense database is a place where information that most people would consider common knowledge is stored. For example, conceptnet was created,.