Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 117 · 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.📦 Saanvi collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
2. 2.📦 Meera collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
3. 3.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
4. 4.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
5. 5.📋 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
6. 6.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
7. 7.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
8. 8.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
9. 9.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
10. 10.🎯 Aarav’s spam spotter was tested on 25 new messages and got 14 right. What is its accuracy in percent?
11. 11.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
12. 12.❌ Kabir’s handwriting reader was tested on 50 new handwritten letters and got 48 right. How many did it get wrong?
13. 13.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
14. 14.🧪 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
15. 15.📦 Kabir collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
16. 16.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
17. 17.❌ Ishaan’s recycling sorter was tested on 22 new waste photos and got 19 right. How many did it get wrong?
18. 18.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
19. 19.❌ Aarav’s spam spotter was tested on 33 new messages and got 29 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 18 right. How many percentage points more accurate is Model A?
21. 21.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
22. 22.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
23. 23.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
24. 24.📦 Kabir collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
25. 25.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
26. 26.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
27. 27.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
28. 28.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
29. 29.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 45 right and Model B got 37 right. How many percentage points more accurate is Model A?
30. 30.❌ Ananya’s bird-song app was tested on 34 new bird songs and got 31 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
32. 32.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
33. 33.📦 Tara collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
34. 34.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
35. 35.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
36. 36.📦 Diya collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
37. 37.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
38. 38.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
39. 39.❌ Ishaan’s leaf identifier was tested on 18 new leaf photos and got 15 right. How many did it get wrong?
40. 40.📦 Vihaan collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

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