Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 850 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
2. 2.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 26 right. How many percentage points more accurate is Model A?
3. 3.🎯 Rohan’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
5. 5.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
7. 7.📦 Vihaan collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
8. 8.📦 Meera collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
9. 9.📦 Diya collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
10. 10.❌ Meera’s leaf identifier was tested on 24 new leaf photos and got 17 right. How many did it get wrong?
11. 11.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
12. 12.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
13. 13.❌ Vihaan’s leaf identifier was tested on 15 new leaf photos and got 12 right. How many did it get wrong?
14. 14.🎯 Meera’s bird-song app was tested on 25 new bird songs and got 25 right. What is its accuracy in percent?
15. 15.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
16. 16.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
17. 17.🎯 Aarav’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
18. 18.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
19. 19.❌ Aarav’s recycling sorter was tested on 45 new waste photos and got 43 right. How many did it get wrong?
20. 20.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
21. 21.❌ Tara’s recycling sorter was tested on 23 new waste photos and got 15 right. How many did it get wrong?
22. 22.❌ Meera’s fruit sorter was tested on 21 new fruit photos and got 14 right. How many did it get wrong?
23. 23.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
24. 24.📦 Ananya collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
25. 25.📦 Diya collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
26. 26.❌ Vihaan’s fruit sorter was tested on 25 new fruit photos and got 22 right. How many did it get wrong?
27. 27.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
28. 28.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
29. 29.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
30. 30.🎯 Ananya’s bird-song app is 90% accurate. If it is tested on 70 new bird songs, how many should it get right?
31. 31.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
32. 32.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
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.❌ Rohan’s leaf identifier was tested on 16 new leaf photos and got 10 right. How many did it get wrong?
35. 35.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
36. 36.❌ Aarav’s handwriting reader was tested on 44 new handwritten letters and got 38 right. How many did it get wrong?
37. 37.❌ Aarav’s fruit sorter was tested on 48 new fruit photos and got 47 right. How many did it get wrong?
38. 38.❌ Saanvi’s leaf identifier was tested on 35 new leaf photos and got 32 right. How many did it get wrong?
39. 39.📋 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
40. 40.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy

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