Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 605 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
2. 2.🎯 Aarav’s leaf identifier was tested on 50 new leaf photos and got 32 right. What is its accuracy in percent?
3. 3.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
4. 4.🎯 Diya’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
5. 5.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
6. 6.🎯 Kabir’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
7. 7.🎯 Aarav’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
8. 8.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) nothing at all (d) a secret password
9. 9.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
10. 10.📦 Vihaan collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.📦 Meera collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
13. 13.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
14. 14.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
15. 15.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
16. 16.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
17. 17.🎯 Tara’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
18. 18.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
19. 19.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
20. 20.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
21. 21.❌ Diya’s recycling sorter was tested on 27 new waste photos and got 19 right. How many did it get wrong?
22. 22.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
23. 23.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
24. 24.📦 Kabir collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
25. 25.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
26. 26.📦 Nisha collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Ananya’s leaf identifier was tested on 20 new leaf photos and got 18 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
29. 29.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
31. 31.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
32. 32.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
33. 33.🎯 Tara’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
35. 35.🎯 Ananya’s spam spotter was tested on 25 new messages and got 20 right. What is its accuracy in percent?
36. 36.🎯 Arjun’s recycling sorter is 80% accurate. If it is tested on 40 new waste photos, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
38. 38.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
39. 39.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
40. 40.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example

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