Food ordering chatbot

This application was developed as a project under the CS-510 (Introduction to Artificial Intelligence) course at Drexel University.

A food ordering smart assistant trained using a multi-layer perceptron neural network on restaurant corpus in python.

Execution Steps:

Install external libraries and packages:

pip install nltk
pip install tflearn
pip install tensorflow
pip install numpy
pip install scikit-learn

Download all nltk data using python:

import nltk
nltk.download()

Train the model: execute all rows in "training.ipynb"

(The model and pickle object will save automatically)

Once the model is trained start the chat bot using the command:

python3 chatbot.py

Evaluate the model: execute all rows in "evaluate.ipynb"