Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 90 · 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.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 48 right. What is its accuracy in percent?
2. 2.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
3. 3.📋 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
4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
5. 5.🎯 Vihaan’s bird-song app was tested on 50 new bird songs and got 25 right. What is its accuracy in percent?
6. 6.📦 Vihaan collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
7. 7.📋 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
8. 8.❌ Ananya’s handwriting reader was tested on 22 new handwritten letters and got 20 right. How many did it get wrong?
9. 9.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
10. 10.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
11. 11.❌ Ananya’s recycling sorter was tested on 37 new waste photos and got 29 right. How many did it get wrong?
12. 12.❌ Vihaan’s fruit sorter was tested on 35 new fruit photos and got 33 right. How many did it get wrong?
13. 13.❌ Nisha’s leaf identifier was tested on 22 new leaf photos and got 19 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
15. 15.🎯 Vihaan’s recycling sorter is 80% accurate. If it is tested on 40 new waste photos, how many should it get right?
16. 16.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
17. 17.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
19. 19.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
20. 20.🎯 Saanvi’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
22. 22.📦 Saanvi collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
23. 23.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
24. 24.📦 Diya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.❌ Vihaan’s leaf identifier was tested on 49 new leaf photos and got 45 right. How many did it get wrong?
26. 26.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
27. 27.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
28. 28.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
29. 29.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
30. 30.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
31. 31.📋 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
32. 32.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
33. 33.❌ Saanvi’s spam spotter was tested on 33 new messages and got 29 right. How many did it get wrong?
34. 34.❌ Tara’s leaf identifier was tested on 18 new leaf photos and got 16 right. How many did it get wrong?
35. 35.❌ Tara’s spam spotter was tested on 41 new messages and got 35 right. How many did it get wrong?
36. 36.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
37. 37.❌ Vihaan’s handwriting reader was tested on 12 new handwritten letters and got 11 right. How many did it get wrong?
38. 38.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
39. 39.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
40. 40.🎯 Diya’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?

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