How to Build a Simple AI Chatbot: A Step-by-Step Guide with Source Code

 Building a simple AI chatbot is becoming increasingly popular as artificial intelligence technology advances. It can be used for customer service, marketing campaigns, or simply to provide entertainment. Chatbots are computer programs that simulate human conversation through voice commands and text chats. In this step-by-step guide with artificial intelligence project source code, we will show you how to build your own AI chatbot using Python and Machine Learning (ML). 

The first step in building an AI chatbot is setting up the environment by installing all necessary libraries such as TensorFlow and Keras. Once installed, create a file called “chatbot_model” which will contain the code needed to train the model on conversational data sets provided by open sources like Cornell Movie Dialogs Corpus or OpenSubtitles corpus available online.

 The next step involves creating feature vectors from these datasets so that they can be fed into ML algorithms for training purposes later on in our project development process. After completing this task, it's time to choose an appropriate ML algorithm such as Long Short Term Memory(LSTM) networks or Convolutional Neural Networks(CNNs).  

 Finally, after selecting our desired algorithm, it's time for us to start coding! We'll need some basic knowledge of Python programming language along with an understanding of machine learning concepts like supervised learning techniques before proceeding further. With just a few lines of code written in python, we'll have created our very own custom-made Artificial Intelligence ChatBot ready to use! Now all that remains left is testing out its accuracy against real-world conversations & tweaking parameters accordingly if required until desired results are achieved. Additionally one could also deploy their bots onto web platforms making them accessible worldwide via an internet connection!