Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 600 · 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.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
2. 2.❌ Rohan’s recycling sorter was tested on 20 new waste photos and got 15 right. How many did it get wrong?
3. 3.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
4. 4.❌ Nisha’s spam spotter was tested on 33 new messages and got 27 right. How many did it get wrong?
5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
6. 6.🎯 Tara’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
7. 7.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
8. 8.📋 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
9. 9.🎯 Ananya’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
10. 10.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
11. 11.📦 Vihaan collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
12. 12.🎯 Tara’s recycling sorter is 50% accurate. If it is tested on 90 new waste photos, how many should it get right?
13. 13.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
14. 14.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
15. 15.📦 Ishaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
17. 17.🎯 Diya’s recycling sorter was tested on 25 new waste photos and got 13 right. What is its accuracy in percent?
18. 18.🧪 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
19. 19.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
20. 20.❌ Rohan’s bird-song app was tested on 34 new bird songs and got 29 right. How many did it get wrong?
21. 21.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
22. 22.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
23. 23.📦 Vihaan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
24. 24.❌ Vihaan’s recycling sorter was tested on 16 new waste photos and got 12 right. How many did it get wrong?
25. 25.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
26. 26.❌ Tara’s bird-song app was tested on 45 new bird songs and got 43 right. How many did it get wrong?
27. 27.🎯 Rohan’s bird-song app is 50% accurate. If it is tested on 100 new bird songs, how many should it get right?
28. 28.📦 Ishaan collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.📦 Ananya collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
30. 30.❌ Vihaan’s recycling sorter was tested on 36 new waste photos and got 33 right. How many did it get wrong?
31. 31.❌ Arjun’s recycling sorter was tested on 43 new waste photos and got 42 right. How many did it get wrong?
32. 32.📦 Meera collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
34. 34.📦 Diya collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
35. 35.❌ Arjun’s fruit sorter was tested on 39 new fruit photos and got 33 right. How many did it get wrong?
36. 36.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
37. 37.📦 Diya collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 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
39. 39.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
40. 40.🎯 Meera’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?

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