Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 870 · 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.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
2. 2.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
3. 3.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
4. 4.🎯 Kabir’s handwriting reader is 90% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
5. 5.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
6. 6.📦 Vihaan collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
8. 8.📦 Ananya collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
9. 9.❌ Arjun’s spam spotter was tested on 34 new messages and got 27 right. How many did it get wrong?
10. 10.📦 Kabir collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
11. 11.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
12. 12.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
14. 14.🧪 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
15. 15.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
16. 16.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 34 right and Model B got 33 right. How many percentage points more accurate is Model A?
17. 17.🎯 Kabir’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
19. 19.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
20. 20.🎯 Diya’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
21. 21.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
22. 22.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
23. 23.❌ Saanvi’s leaf identifier was tested on 25 new leaf photos and got 24 right. How many did it get wrong?
24. 24.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
25. 25.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
26. 26.🎯 Kabir’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
27. 27.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
28. 28.🎯 Meera’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
29. 29.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
30. 30.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
31. 31.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
32. 32.🎯 Diya’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
33. 33.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
34. 34.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
35. 35.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
36. 36.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
37. 37.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
38. 38.🎯 Diya’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
39. 39.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
40. 40.❌ Rohan’s spam spotter was tested on 47 new messages and got 43 right. How many did it get wrong?

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