Simple, accurate and portable chatbot trained off a corpus of conversations to respond to real-time queries.
- Uses Tensorflow Deep Neural Network to model the script and have responses that will be available and vary based on context.
- For classification, regression analysis is used, backed by the modern RELU which minimizes backpropagation of errors.
- NLP is used to create features which will be trained off Tensorflow's DNN's to attain a model with labels and context.
- The chatbot is made to be embedabble to any webpage as a chat bubble, running multiple instances from a single server, via a Flask, REST and Vue.js Framework.
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