Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 141 · 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 — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
2. 2.🎯 Ishaan’s handwriting reader was tested on 50 new handwritten letters and got 30 right. What is its accuracy in percent?
3. 3.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 44 right. What is its accuracy in percent?
4. 4.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
6. 6.❌ Saanvi’s recycling sorter was tested on 48 new waste photos and got 39 right. How many did it get wrong?
7. 7.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
8. 8.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
9. 9.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
10. 10.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
11. 11.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
12. 12.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
13. 13.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
14. 14.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
15. 15.❌ Saanvi’s recycling sorter was tested on 23 new waste photos and got 22 right. How many did it get wrong?
16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
17. 17.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
18. 18.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 16 right. How many percentage points more accurate is Model A?
19. 19.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
20. 20.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
21. 21.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
22. 22.❌ Saanvi’s fruit sorter was tested on 50 new fruit photos and got 49 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
24. 24.📦 Kabir collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.📦 Saanvi collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
27. 27.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
28. 28.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
29. 29.🎯 Ananya’s spam spotter was tested on 50 new messages and got 39 right. What is its accuracy in percent?
30. 30.🎯 Saanvi’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
31. 31.📦 Vihaan collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
33. 33.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
34. 34.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
35. 35.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 90 new fruit photos, how many should it get right?
36. 36.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 70 new leaf photos, how many should it get right?
37. 37.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 22 right. What is its accuracy in percent?
38. 38.❌ Ananya’s fruit sorter was tested on 41 new fruit photos and got 37 right. How many did it get wrong?
39. 39.🎯 Rohan’s bird-song app is 80% accurate. If it is tested on 80 new bird songs, how many should it get right?
40. 40.📦 Aarav collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?

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