The algo is using a neural network of 16 neurons to predict the right output based on the input in the intents.json file witch contains some responses that are ment to help people with mental health issues like addiction, suicidal problems, abuse and breakup problems.

In the first part of the code, we are trainig the model on the intents.json file, then we fit and save the model using :

After that we convert the input into a bag of words of type [1, 0, 1, 0, 0, 1, ... ] based on the frequency of the words in the input using:

chat()

The algorithm uses term frequency to determin the best response for the given input.