Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 200 · 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’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
2. 2.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
3. 3.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
4. 4.🎯 Ishaan’s recycling sorter was tested on 20 new waste photos and got 19 right. What is its accuracy in percent?
5. 5.❌ Ishaan’s leaf identifier was tested on 43 new leaf photos and got 35 right. How many did it get wrong?
6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
7. 7.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
8. 8.🎯 Nisha’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
9. 9.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
11. 11.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
12. 12.❌ Nisha’s handwriting reader was tested on 32 new handwritten letters and got 30 right. How many did it get wrong?
13. 13.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
14. 14.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
15. 15.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
16. 16.❌ Tara’s recycling sorter was tested on 24 new waste photos and got 18 right. How many did it get wrong?
17. 17.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
18. 18.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
19. 19.📦 Ishaan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
20. 20.🎯 Nisha’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
21. 21.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
22. 22.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
23. 23.🎯 Vihaan’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
24. 24.🎯 Aarav’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
25. 25.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
26. 26.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 46 right and Model B got 45 right. How many percentage points more accurate is Model A?
27. 27.❌ Ishaan’s bird-song app was tested on 18 new bird songs and got 12 right. How many did it get wrong?
28. 28.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
29. 29.📦 Rohan collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
30. 30.❌ Rohan’s leaf identifier was tested on 15 new leaf photos and got 10 right. How many did it get wrong?
31. 31.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
32. 32.📦 Aarav collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
33. 33.📋 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
34. 34.📦 Saanvi collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
35. 35.🎯 Nisha’s spam spotter was tested on 50 new messages and got 33 right. What is its accuracy in percent?
36. 36.🎯 Ishaan’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
37. 37.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
38. 38.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 11 right. How many percentage points more accurate is Model A?
39. 39.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
40. 40.📦 Saanvi collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

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