Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 558 · 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.📦 Nisha collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
2. 2.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
3. 3.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
4. 4.❌ Kabir’s fruit sorter was tested on 41 new fruit photos and got 35 right. How many did it get wrong?
5. 5.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 40 new messages, how many should it get right?
6. 6.🎯 Nisha’s bird-song app is 90% accurate. If it is tested on 60 new bird songs, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
8. 8.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
9. 9.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 44 right and Model B got 26 right. How many percentage points more accurate is Model A?
10. 10.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
12. 12.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
14. 14.📦 Saanvi collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
15. 15.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
16. 16.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
17. 17.🎯 Diya’s recycling sorter is 80% accurate. If it is tested on 100 new waste photos, how many should it get right?
18. 18.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
19. 19.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
20. 20.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
21. 21.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
22. 22.📋 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
23. 23.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
24. 24.📦 Rohan collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
26. 26.❌ Ishaan’s fruit sorter was tested on 47 new fruit photos and got 41 right. How many did it get wrong?
27. 27.🎯 Ishaan’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
28. 28.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
29. 29.🎯 Nisha’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
30. 30.📦 Nisha collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
31. 31.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
32. 32.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
33. 33.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
34. 34.❌ Aarav’s fruit sorter was tested on 24 new fruit photos and got 22 right. How many did it get wrong?
35. 35.🎯 Tara’s fruit sorter is 80% accurate. If it is tested on 50 new fruit photos, how many should it get right?
36. 36.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
37. 37.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
38. 38.🎯 Diya’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
39. 39.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
40. 40.❌ Aarav’s recycling sorter was tested on 30 new waste photos and got 25 right. How many did it get wrong?

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