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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.
Chapter 1227 sections
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.
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.
Maps human facial expressions to emojis using an AI classification model.
Identifies and locates human faces within digital images or video, using pre-trained models such as Haar Cascades.
Detects human posture and key body points through images or video using AI.
A browser-based tool that enables users to train custom machine learning models in image, sound, and pose data without coding.
Uses drag-and-drop platforms to simplify AI logic building for beginners, seen in tools like Scratch and Blockly.
Considerations surrounding bias, privacy, and the responsible use of AI tools and data.