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
Navigate through the learning materials and practice exercises.
What we have learnt
- You donβt 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
Supplementary resources to enhance your learning experience.