A comprehensive tutorial on building an AI-powered chatbot from scratch using Python, NLTK, and TensorFlow/Keras. The guide walks through seven detailed steps from environment setup to deployment, inc
luding data preprocessing, model training, and creating response functions.
Reasons to Read -- Learn:
how to build a practical, working chatbot from scratch using popular Python libraries, with clear code examples and explanations for each implementation step.
fundamental concepts of natural language processing and deep learning applied to chatbot development, including text preprocessing, intent classification, and response generation.
how to structure a chatbot's conversation dataset using JSON format and transform it into training data for a neural network, with specific examples of handling greetings, goodbyes, and help requests.
publisher: @bhatadithya54764118
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