Text to Voice: Unraveling the Evolution of Chatbots — A Comprehensive Guide to NLP, ML, and Real-World Applications

 The guide discusses the evolution of chatbots from text-based bots to voice-based bots and defines a chatbot as a computer program that engages in intelligent conversations with humans. The guide explains that chatbots function using Natural Language Processing (NLP) and Machine Learning (ML) technologies. When a question is presented to a chatbot, algorithms process the input and determine an appropriate response. Chatbots can learn from previous interactions and become more intelligent over time.

Furthermore, the guide provides various use cases for chatbots in different industries. It mentions examples such as using chatbots for online shopping to help users find relevant products, utilizing chatbots in healthcare for clinical decision support, employing chatbots in CRM to automate mundane tasks, and utilizing chatbots for effective project management by automating tasks and scheduling meetings. Overall, the guide seems to offer a comprehensive overview of chatbot development, including tools, best practices, and real-world use cases.

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