Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 561 · 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.❌ Aarav’s bird-song app was tested on 32 new bird songs and got 23 right. How many did it get wrong?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
3. 3.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
4. 4.📦 Saanvi collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
5. 5.❌ Meera’s recycling sorter was tested on 26 new waste photos and got 25 right. How many did it get wrong?
6. 6.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
7. 7.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
8. 8.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
9. 9.🎯 Meera’s recycling sorter is 90% accurate. If it is tested on 50 new waste photos, how many should it get right?
10. 10.🎯 Diya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
11. 11.🎯 Ananya’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
12. 12.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 45 right and Model B got 42 right. How many percentage points more accurate is Model A?
13. 13.📋 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
14. 14.🎯 Vihaan’s leaf identifier is 80% accurate. If it is tested on 20 new leaf photos, how many should it get right?
15. 15.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
16. 16.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
17. 17.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
18. 18.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
19. 19.❌ Rohan’s recycling sorter was tested on 42 new waste photos and got 35 right. How many did it get wrong?
20. 20.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
21. 21.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
22. 22.❌ Tara’s fruit sorter was tested on 42 new fruit photos and got 37 right. How many did it get wrong?
23. 23.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
24. 24.🎯 Nisha’s fruit sorter was tested on 50 new fruit photos and got 39 right. What is its accuracy in percent?
25. 25.❌ Meera’s leaf identifier was tested on 30 new leaf photos and got 21 right. How many did it get wrong?
26. 26.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
27. 27.🎯 Meera’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
28. 28.📦 Kabir collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
29. 29.📦 Ananya collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
30. 30.📋 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
31. 31.📦 Aarav collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
33. 33.⚖️ 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?
34. 34.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
35. 35.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
36. 36.📦 Aarav collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
37. 37.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
38. 38.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 19 right. How many percentage points more accurate is Model A?
39. 39.❌ Kabir’s bird-song app was tested on 15 new bird songs and got 12 right. How many did it get wrong?
40. 40.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples

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