Introduction. Imagine a university receiving hundreds of WhatsApp messages from students who want information about admission deadlines, examination schedules, course requirements, scholarship opportunities, and application procedures. Responding to every message manually can consume considerable time, particularly when students contact the institution from different time zones. A similar challenge affects online businesses, healthcare administrators, travel companies, educational platforms, and customer support teams. People expect quick answers, but human employees cannot always respond immediately. A WhatsApp AI chatbot can help address this problem by combining the WhatsApp Business Platform, application programming interfaces (APIs), and a language model that interprets messages and generates relevant responses. Unlike a traditional chatbot that relies entirely on predefined commands, a language-model-powered chatbot can respond to different phrasings, maintain conversationa...
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