In this blog post, we will be walking through the steps to create an AI chatbot in Python. We will be using natural language processing (NLP) and machine learning (ML) techniques to enable the chatbot to understand natural language input from users and respond in a way that is appropriate to the context of the conversation.
We will be using the NLTK library for natural language processing, sci-kit-learn for machine learning, and Flask as a web framework for building the chatbot.
The chatbot we will be building will be able to respond to a variety of topics, including weather, news, jokes, and general chit-chat. We will be using a combination of rule-based and machine-learning approaches to create a chatbot that is both accurate and versatile.
we will be creating an AI chatbot in Python using natural language processing (NLP) and machine learning (ML) techniques. The chatbot we will be building will be able to understand natural language input from users and respond in a way that is appropriate to the context of the conversation.
