Class 7 Vocational Education (Kaushal Bodh) Chapter 4, Project 4: AI Assistant (Part 2: Work with Machines and Materials), demystifies Artificial Intelligence through hands-on experimentation—comparing human and machine intelligence, testing computer vision and speech tools, collecting local community data, and training an image-recognition AI Assistant using Teachable Machine.
What Class 7 Vocational Education Chapter 4 Covers
Human vs Machine Intelligence & What AI Can Do compares human empathy and common sense with machine speed and pattern recognition, and explores AI tools for image recognition, voice translation, AutoDraw sketching and story generation.
Collecting Local Data, Training & Testing Your AI Assistant gathers categorized photographs of local foods, plants, animals, monuments and festivals to help a newcomer in the locality, trains a custom machine-learning model (using Teachable Machine / Scratch), tests accuracy and improves the dataset.
Exercises in Chapter 4
- What did I learn from others?, What did I do and how long did it take? and Think and Answer project reflections.
Read Class 7 Vocational Education Chapter 4 Online
More Chapters
- Previous: Chapter 3: Tie and Dye
- Next: Chapter 5: Storytime with Puppets
- Hindi medium: Class 7 Vocational Education Chapter 4 PDF in Hindi (Kaushal Bodh)
- All Vocational Education chapters and the other Class 7 books: Class 7 NCERT books 2026-27
- All Class 1 to 12 NCERT Textbooks: NCERT Books PDF (Class 1–12)
FAQ
What are the main steps to build an AI Assistant in Project 4 of Kaushal Bodh?
1. Define the problem and categories (e.g., local foods, plants, monuments); 2. Collect and organise labelled training images; 3. Train the machine-learning model; 4. Test the model with new images and refine it; 5. Share it with users for feedback.
Why does an AI model need diverse training images for each category?
Providing clear photographs taken from different angles, lighting conditions and backgrounds helps the AI model learn the true features of an object and recognise it accurately in real life.