CHATBOT PROGRAMMING FOR KIDS

I think chatbots are the future of engagement between a fan and a brand or celebrity.” — Christina Milan ( Forbes)

Chatbots represent a new trend in how people access information, make decisions and communicate.” — Christie Pitts ( Verizon Ventures)

I feel that chatbots are an important part of the Artificial Intelligence (AI) revolution. They are helping businesses save time and money by automating customer service and support tasks. Chatbots are also making it possible for people to interact with computers in a more natural way, using everyday language instead of code.

An education chatbot for kids can be a great way to keep kids engaged and entertained while teaching them new skills. Building a bot that can learn new information and adapt to new situations allows you to go beyond entertaining kids and give them access to educational content. Plus, having a bot that can learn over time makes it easier to keep up with the latest trends. Let’s take a look at a few reasons why you might want to build a bot with machine-learning capabilities.

Keep up with the latest trends — This allows you to keep up with the latest trends in education and respond to new questions in real time.

Teach kids new skills — There are many skills you can teach kids with a bot, including reading, math, science, and more. You can also use a bot to keep kids engaged while they’re practicing their skills.

Content isn’t static — Sometimes you’ve got a new skill to teach, but your bot was built with static content. Building your bot with machine learning capabilities allows you to add new skills on the fly.

Bump up engagement — The more your bot can do, the more useful it is to your users. Adding machine learning capabilities can make your bot more engaging for kids and adults alike.

Chatbot Development Strategy

Creating a successful chatbot requires careful planning, coding, testing, and debugging. The process of chatbot coding involves designing the bot’s conversation flows, writing code for intent recognition and natural language processing, and training the model with data. Making a Chatbot is complex but rewarding; when done correctly, chatbots can provide a valuable service to users. The development strategy is discussed for your reference

Step 1: Define Your Objectives

Before you jump in and start building your bot, it’s important to define your objectives. What do you want your bot to do?

For example, our simple objectives can be

– Allow users to ask questions and get answers

– Allow users to interact with the bot in a fun way

– Teach users new skills — Give users access to new content

Get specific with your goals. What types of questions do you want users to be able to ask? What skills do you want the bot to teach? What content do you want the bot to provide? These are all critical components of your bot’s objectives.

Step 2: Pick Your ML Platform And Train Your Bot

Now that you’ve defined your objectives, it’s time to pick a machine-learning platform. There are a number of platforms available that let you build a chatbot with machine-learning capabilities.

Step 3: Add The ML Capabilities You Want To Include

Now that you’ve picked a machine-learning platform, you can start building your bot. The first step is to define the capabilities you want your bot to have. What features do you want it to be able to perform? When you’re building your bot, remember to keep things simple. Including too many features can cause your bot to be clunky and difficult to use. It’s better to have a few simple capabilities than a load of complex ones. Let’s look at a few capabilities you might want to include in your bot: — Answer questions — Your bot can answer fact-based questions and respond to informational prompts. For example, your bot can answer questions about the weather, planets, or other topics. — Recommend products or services — Your bot can recommend products or services to users based on their interests or needs. For example, if a user asks your bot how much groceries cost, your bot can recommend a meal-planning service. — Sell products or services — Your bot can respond to purchase prompts and sell products or services to users. For example, if a user asks to buy a subscription to a newspaper, your bot can sell the subscription to them.

Step 4: Make It Accessible For Kids And Wrap Up

Now that you’ve built your bot, it’s time to test it. Run the program to test the Chatbot.

As we are clear with the strategy “ How to Make a Chatbot” so let’s get started

DIY Chatbot

We will be making a simple Chatbot that can distinguish between Spam and Ham (desirable messages). For fun, we have named the desirable messages Ham. For creating the Chatbot the text classifier extension is used in Scratch AI block . When you open this website, please enable microphone as it is a Voice Chatbot. Also use the text classifier shown below in Scratch AI interface.

Take three sprites representing Bot, Spam, and Ham. For your reference, the Sprites used in the Chabot are shown below :

In this Chatbot, we will include the capability to distinguish between Spam and Ham messages. For this, we will create two labels named Spam and Ham. Now to train our model we need to add examples of text which can be related to Spam and Ham (desirable messages).

Code:

The logic is that the user will speak the message. The chatbot will check the message and provide the result that whether the message is Spam or Ham.

Code (Bot Sprite)

Code (Spam Sprite)

Code (Ham Sprite)

In the above code the blocks from extension text recognition blocks are used with Scratch blocks from the control, Looks and text to speech category. In case the user speaks something related to Spam messages then Spam sprite will appear and if the user speaks something related to Ham then Ham sprite will appear.

You will notice that the Chatbot will provide you with a correct response in the case of trained labels in the text recognition model. However, there is one more interesting observation the Chatbot also provides correct responses in case of labels for which it has not been trained.

Well, this is because of Artificial Intelligence (AI) and Natural Language Processing (NLP). AI is used to identify patterns in the text and NLP helps Chatbot recognize voice commands.

The end result of our DIY Chatbot should be a fully functional chatbot that can distinguish between Spam and Ham messages. So don’t forget to play around with the Artificial Intelligence and Natural Language Processing capabilities of your Chatbot. Have fun!!!

By following this step-by-step guide, you should now be able to create a smart chatbot that can help in differentiating Spam and Ham messages. Skoolofcode provides Project-based learning for kids through their Computer Science curriculum. This hands-on approach offers kids a chance to develop digital skills and explore their own creativity in the world of technology.

Thus, Artificial Intelligence (AI), natural language processing (NLP), Intent Recognition, and Entity Recognition are all key components of chatbot development. When used together, these technologies enable chatbots to understand user intent and provide accurate responses.