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    In this chapter, you’ll learn how to create cool projects that use images, sound and body poses.
                      You’ll train your model to recognise different sounds, like claps or words and teach it to detect
                      movements or gestures with your body.

                       GOOGLE TEACHABLE MACHINE PROJECTS

                      Google Teachable Machine project is like teaching your computer to recognise patterns. You give
                      it with examples—like images, sounds or body poses and it learns to identify them. Once trained,
                      the computer can use this learning to make predictions or classifications when it encounters
                      new input.

                      In Google Teachable Machine, you can create three types of projects:
                      1.  Image Project

                      2.  Audio Project
                      3.  Pose Project

                      Using Google Teachable Machine in Real Projects

                      Google Teachable Machine can be used to create real-world applications, allowing individuals
                      to explore and apply machine learning concepts. Below are some ways to use Google Teachable
                      Machine in various projects.

                      Interactive Games
                      Google  Teachable  Machine  allows the  creation  of games  that  respond  to  real-time  physical
                      actions,  sounds  or images. It enables  the design of interactive  games  that  react  to  gestures,
                      movements or voice commands, enhancing user engagement and interactivity.

                      Smart Devices

                      With Google Teachable Machine, trained model can be integrated into smart devices. It can be
                      used  to  create  systems  that  respond  to  voice  commands  or gestures,  providing  control  over
                      various devices like lights, speakers or even home appliances.
                      Virtual Assistants

                      Google Teachable Machine helps in creating AI-powered virtual assistants that can recognise
                      voices, images or gestures. This assistant can be used to develop applications that interact in a
                      natural, human-like way, responding to commands or actions.
                      Object and Image Recognition

                      Google Teachable Machine is ideal for projects requiring object detection or image classification.
                      This capability allows for the development of systems that can automatically identify objects,
                      making it useful for tasks such as sorting, classification or automation.

                      Health and Fitness
                      Google Teachable Machine can be applied in health-related projects, such as tracking physical
                      activity or monitoring posture. It enables the creation of systems that can recognise movements
                      or gestures, providing feedback and assistance in fitness routines.

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