Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 199 · 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 — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
2. 2.📦 Saanvi collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
4. 4.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
5. 5.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
6. 6.📦 Ishaan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
8. 8.🎯 Vihaan’s spam spotter is 60% accurate. If it is tested on 100 new messages, how many should it get right?
9. 9.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
10. 10.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
11. 11.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
12. 12.❌ Nisha’s fruit sorter was tested on 45 new fruit photos and got 36 right. How many did it get wrong?
13. 13.📦 Tara collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
14. 14.🎯 Saanvi’s fruit sorter was tested on 10 new fruit photos and got 8 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
16. 16.📦 Meera collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
17. 17.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
18. 18.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
19. 19.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
20. 20.🎯 Ananya’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
21. 21.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
22. 22.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
23. 23.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
24. 24.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
25. 25.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
26. 26.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
27. 27.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
28. 28.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
29. 29.❌ Aarav’s fruit sorter was tested on 43 new fruit photos and got 34 right. How many did it get wrong?
30. 30.🎯 Arjun’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
31. 31.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
32. 32.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
33. 33.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
34. 34.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
36. 36.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
37. 37.🎯 Ananya’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
38. 38.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
39. 39.❌ Meera’s recycling sorter was tested on 38 new waste photos and got 35 right. How many did it get wrong?
40. 40.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?

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