Introduction 


With the popularity of digitalization, chatbot technology continues to gain momentum. Today, many find an interest in using chatbots for enhancing business. If you are a non-programmer and think of creating functional chatbots, congratulations, it is possible. There exist many advanced tools that help non-programmers learn to build an artificial chatbot.

In this article, we will deal with the basics of the artificial intelligence chatbot project. To be precise, the two main steps involved in designing a chatbot are - conversation design and bot construction. 
Let us begin this chatbot tutorial for beginners with a proper definition of chatbot.

What is an Artificial Intelligence Chatbot?


A chatbot could be defined as an artificial intelligence software. This is software that helps in communicating with a user in natural language via an Artificial Intelligence algorithm. Chatbots are the fuel or spark capable of understanding human language. It is used to process human language and interact back while performing specific tasks.

Chatbot implements websites, mobile apps, message applications, and many more among others to support interaction. It is an information service interface that influences many marketers and several organizations.
The best chatbot artificial intelligence examples in 2022 are Tidio Customer Support Chatbot, Kuki Artificial Intelligence Chatbot, Meena by Google, BlenderBot by Facebook, and Rose AI.

How Do Chatbots Function?


If you are interested in building an artificial intelligence chatbot, you will have to first know how it works. The primary function of the chatbot is to assess the user's request. To do so, chatbots verify the user's purpose followed by extracting the information and relevant bodies.

Once the user's goal is decided upon, the chatbot offers the most relevant response to the user's request. The response is either general or predetermined language.

Our Learners Also Read- A List of Artificial Intelligence (AI) Tools for Personal Use

Steps to Build an Artificial Intelligence Chatbot

Recognize opportunities for an AI chatbot


The first step in this chatbot tutorial for beginners is identifying the opportunities that aim towards the purpose and utility of the chatbot. You have to guess about the tasks that can be automated and augmented through Artificial Intelligence Algorithms.

Usually, there are two types of tasks associated with artificial intelligence chatbots - "Data Complexity" or "Work Complexity".

Accumulate a Team


To build an artificial intelligence chatbot, you have to gather a team. You can create a chatbot from scratch only by gathering a team. Designing a chatbot includes initial testing, configuration, and troubleshooting its bugs. This is possible only via the right team of experts in different fields.

Data scientists & software engineers are used for building a team who can design and train a chatbot.

Collect Training Data


The second step in building an artificial intelligence chatbot is to collect/corpus training data. This is the data that could be used to instruct the NLP model to understand the human language. NPL model interprets data as text or speech and replies using the same medium.

Corpus/Collecting data can be drafted using several methods; such as Manual.

Use NLTK with Python


Python is a programming language that is used to design simple text-based chatbots. Follow these steps- input the corpus. Build NLTK feedback and converse-based chat utility for interacting with the user. Finally, run the chat utility function.

Design Chatbot Window


Chatbot Window enables the user to interact with a bot using text. Designing a chatbot window is a function that helps the chat window function unless it breaks or quits. The NLTK converse function is used to type in the chat into the Chatbots.

Analyze or Test the Chatbot


The basics of building an Artificial Intelligence Chatbot count in analyzing and testing the chatbots. You have to interact with and evaluate the built text bot.

One has to be very careful while designing the artificial intelligence chatbot project. It is very necessary to forestall misinterpretations and wrong answers displayed by the chatbot. Following these steps, you will successfully build a simple chat utility. And the chat utility is used with several applications such as - inputs & following a pattern.

Discover Customer Goals


Building an artificial intelligence chatbot involves understanding customer goals. You have to have a good understanding of the reason behind the client's need to have a chatbot. One way to understand a chatbot is to gain a collective understanding of the client's problem statement. As a developer, you must have clarity beforehand as it helps you to create genuine and meaningful conversations.

What is the Average Cost to Make a Chatbot?


The total amount required to build a chatbot depends on various external factors. The factors include  the type of chatbot, the technology plethora used, and the collection of capabilities used for data analysis algorithms.

The most common type of chatbot developed is a 'rule-based chatbot'. This type of chatbot is affordable but supports fewer features. The average cost to build a rule-based artificial intelligence chatbot is around $30,000( INR 23,27,775 )

A chatbot powered by AI demands more resources. It is because the tools are highly complex & the team must acquire advanced ease with neural networks and artificial intelligence. $50,000 is the average cost of building such a type of cutting-edge solution.

Final Takeaway


In conclusion, we can say that a chatbot is an ideal solution for transforming the way of communication between customers and companies. The development and popularity of chatbots will increase in the future. Thus, learning the basics of building AI chatbots is always beneficial. With AI Chatbots interactions become quicker and customers develop an affinity with the established brand loyalty.