12. AI-Based Activities (like Emoji Generator, Face Detection, etc.) - CBSE 11 AI (Artificial Intelligence)
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12. AI-Based Activities (like Emoji Generator, Face Detection, etc.)

12. AI-Based Activities (like Emoji Generator, Face Detection, etc.)

Artificial Intelligence (AI) encompasses practical applications that facilitate understanding of its principles through engaging activities. This chapter focuses on hands-on projects like Emoji Generators, Face Detection, and Pose Estimation, illustrating key AI concepts such as classification and object detection. Through interactive exercises, students are introduced to AI's real-world applications, providing a bridge between theoretical knowledge and practical implementation.

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Sections

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  1. 12
    Ai-Based Activities (Like Emoji Generator, Face Detection, Etc.)

    This section explores hands-on AI projects like Emoji Generators and Face...

  2. 12.1
    Emoji Generator

    The Emoji Generator is an AI application that translates facial expressions...

  3. 12.1.1

    This section introduces the concept of the Emoji Generator, an AI...

  4. 12.1.2
    Concepts Involved

    This section delves into the fundamental concepts underlying various AI...

  5. 12.1.3
    Steps To Build

    This section outlines the essential steps to build an AI-based Emoji...

  6. 12.1.4
    Educational Outcomes

    This section outlines the educational outcomes related to AI-based...

  7. 12.2
    Face Detection

    Face detection identifies human faces in images or videos but does not...

  8. 12.2.2
    Concepts Involved

    This section covers key concepts relevant to Face Detection, including...

  9. 12.2.3
    Steps To Build (Python-Based)

    This section outlines the steps needed to implement Face Detection using...

  10. 12.2.4
    Educational Outcomes

    This section describes the educational outcomes from hands-on AI activities,...

  11. 12.3
    Pose Estimation

    Pose estimation involves detecting human posture and key body points from...

  12. 12.3.2
    Concepts Involved

    This section discusses the concepts involved in AI applications like Emoji...

  13. 12.3.3

    This section introduces AI tools like TensorFlow.js and MediaPipe used for...

  14. 12.3.4
    Steps (Posenet Js Example)

    This section describes the steps to implement Pose Estimation using PoseNet...

  15. 12.3.5
    Applications

    This section introduces various applications of AI, including Emoji...

  16. 12.4
    Teachable Machine Experiments

    Teachable Machine is a user-friendly tool by Google that allows students to...

  17. 12.4.1
    What Is Teachable Machine?

    Teachable Machine is a user-friendly browser tool that enables students to...

  18. 12.4.2
    Experiments To Try

    This section outlines various AI experiments using tools like Teachable...

  19. 12.4.3

    Teachable Machine serves as a user-friendly platform for training AI models,...

  20. 12.5
    Ai With Scratch And Blockly

    This section introduces using visual programming tools like Scratch and...

  21. 12.5.1
    Why Use Visual Tools?

    Visual tools like Scratch and Blockly simplify AI learning for beginners,...

  22. 12.5.2
    Example Activities

    This section explores example activities using AI tools to engage students...

  23. 12.6
    Ethical Considerations

    This section discusses the ethical considerations that arise in the...

  24. 12.6.1
    Points To Reflect On

    This section explores the ethical implications of AI applications in...

  25. 12.7
    Chapter Summary

    This section reviews the major AI applications discussed in the chapter,...

  26. 12.7.1
    Key Concept Description

    This section covers key AI applications such as Emoji Generators, Face...

  27. 12.8
    Key Takeaways

    In this section, we summarize the essential concepts of AI-based activities,...

What we have learnt

  • You don’t need to be a coder to build and understand AI applications.
  • Activities make abstract AI concepts real and tangible.
  • With simple tools, students can build AI projects that reflect the power and responsibility of modern technology.

Key Concepts

-- Emoji Generator
Maps human facial expressions to emojis using an AI classification model.
-- Face Detection
Identifies and locates human faces within digital images or video, using pre-trained models such as Haar Cascades.
-- Pose Estimation
Detects human posture and key body points through images or video using AI.
-- Teachable Machine
A browser-based tool that enables users to train custom machine learning models in image, sound, and pose data without coding.
-- Visual Programming
Uses drag-and-drop platforms to simplify AI logic building for beginners, seen in tools like Scratch and Blockly.
-- Ethical Aspects
Considerations surrounding bias, privacy, and the responsible use of AI tools and data.

Additional Learning Materials

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