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Machine Learning Projects For Kids


Artificial intelligence (AI) and Machine Learning (ML) applications have enveloped today’s generation. As a result, it is our obligation to prepare our children for the future by educating them about ML.

It’s believed that when kids perform something themselves, they understand it more efficiently. Here’s a look at some of the popular machine learning projects and resources, which can be tried at home.

Examples From The Real World

What is the best way of introducing any concept to kids other than starting with a collection of real-world examples? There are several examples of Machine Learning all around you, which you may not have noticed yet :

  • Voice assistants like Amazon Alexa (Echo), Siri, Cortana, and Google Assistant.

  • Product suggestions from Amazon, movie suggestions by Netflix, music suggestions by Gaana.

  • Spam email detection (how does your computer recognise whether an email is spam?- ML helps it).

  • Automatic colorization of black-and-white images- Here

  • Machine Translation- Check out the fantastic new Skype Translator.

  • News feeds on Twitter, Facebook, and Snapchat.

  • Forecasting the weather.

  • Technology for self-driving cars.

  • And the list will probably go on.

Online Machine Learning Resources For Kids


1. Google Teachable Machine

Teachable Machine is a website that allows you to train image, sound, and pose classification models with ease. You can begin without even creating an account. Data files for training can be loaded straight from your computer or via the webcam or microphone on your PC. The engine obtains the data set from the user, then trains on the data, and finally predicts the result.

The first display keeps things easy for the user, but if they want, they can go deeper and alter the number of epochs, batch size, and learning rate, as well as get familiarised with the popular machine learning vocabulary. ML models can be exported for use in other projects, and there are links in the FAQ to learn more about fairness and inclusion in machine learning.


2. IBM Machine Learning For Kids

The IBM Machine Learning for Kids website offers a variety of free step-by-step guidelines and hands-on model building activities for instructors and parents who wish to get involved in teaching their kids about ML.

The online interface provides simple ways to train a model to recognise text, photos, figures, and voices. To get started, you’ll need an IBM Cloud account and an API key for Watson cloud services in order to train machine learning models.

This activity kit not only teaches kids the ideas and applications of machine learning and artificial intelligence,but it also allows them to experiment with data and seek answers from machines. IBM’s activity kit includes around two dozen exercises and games for children of all ages.

Here is access to the kit — IBM Activity Kit


3. Quick,Draw! By Google


The website Quick, Draw! is a fun game for people of all ages where they can draw simple sketches of everyday objects and contribute them to neural network training. The data can be explored according to the requirements of kids. For example,toddlers and younger kids can interact with the data and point out illustrations of their favourite objects (e.g., teddy-bears, bulldozers, tractors, cats, and dogs). Older kids can work with more complex data.

Google has created this fun game in which users are challenged to draw an image of an object or idea, and then the game utilises artificial intelligence and machine learning to predict what the drawings represent. Each painting teaches the AI something new, improving its ability to make better predictions in the future.

The player begins by drawing an object, which may be assigned to them. For example, ‘draw a sleeping man’. 19 seconds are given to sketch the thing. The AI predicts what they’re drawing based on the sketch. When the player’s drawing is close enough to the item they were given to draw, it will exclaim something like “I know, it’s a sleeping man!” and advance to the next round. The game goes on.


4. ML Playground

Machine Learning Playground is a web-based demonstration that allows you to design point patterns, set parameters, and analyze/classify data using a variety of machine learning methods (KNN, Perceptron, SVN, ANN, and Decision Tree). This resource is best suited for older kids who are already aware of these terminologies and want to learn more about how algorithms work with real data.

It is an interactive visualisation of neural networks developed in typescript by d3. js. It includes a small neural network library to fulfil the needs of this educational visualisation. Small neural networks may be simulated in real time in your browser and the results can be viewed.


5. Experiments With Google

One of the many things Google excels at is spreading knowledge in a comprehensible and fascinating method. Experiments with Google are no exception. According to the website, it is “a collection of experiments that instructors, students, and families are using to learn from home.” It comprises several basic yet engaging activities for teaching kids about AI and machine learning.

You can access the experiments here- AI and ML Experiments


As future leaders, it is critical for 21st-century children to understand and master AI and ML.The resources included here are some of the finest for teaching Machine Learning to kids in an interesting way while also ensuring that they learn the skills required to be ready in the future.

For parents who are interested in AI/ML, this extra time with children has allowed them to watch and focus more on how children learn, as well as focus on methods to develop AI/ML understanding among their kids by incorporating principles from human learning and cognition. Engaging kids with these online resources will further supplement their knowledge.

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